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The Royal Institute of Technology Department of Electrical Engineering Electric Power Engineering
VALIDATION OF THE PSS/E MODEL
FOR THE GOTLAND NETWORK
Master Thesis at KTH
Supervisor: Robert Eriksson
Examiner: Mehrdad Ghandhari
XR-EE-ES 2010:008
HRAG MARGOSSIAN
Abstract
The aim of the project is to revise the load flow and dynamic
PSS/E models of the Gotland network and validate them against a
set of measurements collected during a major disturbance, a three
phase short circuit in the 70 kV system.
The main task in revising the model is to convert the induction
machine models of the wind turbines into user and manufacturer
wind turbine models. The validation of the model is divided into
two phases. The first is to use the measurements as well as some
assumptions on the wind power generation and load distribution
from the time of the fault to validate the dynamic behaviour of the
system. The second is to use new measurements during a normal
operation day. The latter would not be very helpful to illustrate the
dynamic behaviour of the system, because of the lack of a major
fault that would drastically affect the system, but it would
nevertheless be useful to validate the load flow with greater
accuracy.
Key Words: PSS/E, Gotland, Dynamic simulation of power
system, model validation
Acknowledgements
I am very thankful to my supervisor at KTH, Robert Eriksson and my thesis
examiner, Mehrdad Ghandhari for their constant support and guidance
throughout the span of this project.
It is a pleasure to thank my supervisors at Vattenfall: Urban Axelsson and
Daniel Wall, who went out of their ways to help me in every step of the project
and without whom this thesis would not have been possible.
I would also like to show my gratitude to Per-Olof Lindström, who in more than
one occasion helped me through some difficult situations with PSS/E, to all the
people working at the R&D department at Vattenfall who made working there a
truly enjoyable experience and to all the people at GEAB who provided me with
as much information as they could to make the validation process a success.
Finally, I would like to dedicate this thesis to my parents and my sister for their
unconditional love and support without which it would have been impossible for
me to come this far.
Hrag
Table of Contents
1 INTRODUCTION 1
1.1 Background 1
1.2 Project Organization 1
1.3 Project Tasks 1
1.4 Introduction to PSS/E 2
1.5 Prior Work 2
1.6 The Gotland Network 3
1.7 Report Structure 4
The report structure is as follows: 4
1.7.1 Chapter 2 – Validating the Dynamic Behaviour of the Model 4
1.7.2 Chapter 3 – Validating the Load Flow Model 5
1.7.3 Chapter 4 – Conclusions and Future Work 5
2 VALIDATING THE DYNAMIC BEHAVIOUR OF THE MODEL 7
2.1 Wind Turbines in Gotland 7
2.1.1 Wound Rotor Induction Generator Model with Variable Resistance 8
2.1.2 Doubly Fed Induction Generator Model 9
2.1.3 Full converter Turbines 11
2.1.4 Danish Concept Turbines 12
2.1.5 Vestas V47 Turbines 14
2.1.6 Vestas V90 Turbines with FRT 14
2.1.7 Kenersys Turbine 15
2.2 Wind Power Generation and Load Distribution 16
2.3 Capacitive Banks 19
2.4 The Three phase Fault 20
2.4.1 The fault 20
2.4.2 Clearing of the fault 23
2.4.3 Disconnection of 2 Transformers in Näs2 25
2.4.4 Disconnection of 2 Lines in Storugns 27
2.4.5 Opening of Breaker that disconnects HVDC converter at Näs 28
2.4.6 Wind Turbines disconnection 29
2.4.7 Load Disconnection 29
2.4.8 Summary of Events 30
2.5 Results of the Simulation 31
2.5.1 Comparison with Measurements 32
2.5.2 Fault Location 35
2.5.3 Disconnection Time of HVDC Light in Näs 39
2.5.4 Load Disconnection at Cementa 40
2.5.5 Frequency Analysis of the System 42
2.5.6 Conclusion 46
3 VALIDATING THE LOAD FLOW MODEL 48
4 CONCLUSION AND FUTURE WORK 51
BIBLIOGRAPHY 52
List of Tables Table 1: Gotland Regions....................................................................................................................... 16
Table 2: Lines Separating Regions......................................................................................................... 16
Table 3: Pgen-Pload for all Regions ...................................................................................................... 18
Table 4: Status of Capacitor Banks ........................................................................................................ 19
Table 5: Arc Resistance Calculation ...................................................................................................... 23
Table 6: Three-Phase Fault Event List ................................................................................................... 30
Table 7: Load Flow Validation .............................................................................................................. 49
List of Figures Figure 1: The Gotland Power Network .................................................................................................... 3
Figure 2: WRIG with Variable Resistance Control ................................................................................. 8
Figure 3: Block Diagram for WRIG with Variable Resistance Control Model ....................................... 9
Figure 4: DFIG ....................................................................................................................................... 10
Figure 6: Full Converter ......................................................................................................................... 11
Figure 5: Block Diagram of DFIG Model .............................................................................................. 11
Figure 7: Block Diagram for Full Converter Model .............................................................................. 12
Figure 8: DCIG ...................................................................................................................................... 13
Figure 9: Block Diagram for DCIG Model ............................................................................................ 14
Figure 10: Grid Code Curve ................................................................................................................... 15
Figure 11: Dividing Gotland into Regions ............................................................................................. 17
Figure 12: Fault Location ....................................................................................................................... 21
Figure 13: Line L8_S1 Configuration .................................................................................................... 22
Figure 14: Fault Conditions for Calculating Rarc .................................................................................. 23
Figure 15: Voltage at Hemse (Breaker Times) ...................................................................................... 24
Figure 16: Current out of the Transformer in Näs2 ............................................................................... 25
Figure 17: Voltage at the 10kV side of the transformer in Näs2 ........................................................... 25
Figure 18: Unipower diagram for voltage at Näs2 (10 kV) ................................................................... 26
Figure 19: Current in Line2 in Storugns ................................................................................................ 27
Figure 20: Current in Line1 in Storugns ................................................................................................ 27
Figure 21: Näs1 substation ..................................................................................................................... 28
Figure 22: Current Flowing through Transformer Connected to HVDC Light ..................................... 28
Figure 23: Measurements Used for Validation ...................................................................................... 31
Figure 24: Voltage at Hemse (meas. vs results) ..................................................................................... 32
Figure 25: Voltage at Storugns (meas. vs results) .................................................................................. 33
Figure 26: Voltage at Bäcks (meas. vs results) ...................................................................................... 34
Figure 27: Multiple Source Line ............................................................................................................ 35
Figure 28: The Infeed Effect .................................................................................................................. 36
Figure 29: Fault Locations - Sensitivity Analysis .................................................................................. 36
Figure 30: Voltage at Hemse (Fault Locations) ..................................................................................... 37
Figure 31: Voltage at Storugns (Fault Locations) .................................................................................. 38
Figure 32: Voltage at Bäcks (Fault Locations) ...................................................................................... 38
Figure 33: Voltage at Hemse (HVDC Disconnection) ........................................................................... 39
Figure 34: Voltage at Hemse (Cementa Load) ....................................................................................... 40
Figure 36: Voltage at Storugns (Cementa Load) ................................................................................... 41
Figure 35: Voltage at Bäcks (Cementa Load) ........................................................................................ 41
Figure 37: Frequency Variation (meas. vs results) ................................................................................ 42
Figure 38: Frequency Variation (commutation failure) ......................................................................... 43
Figure 39: Voltage at Hemse (Commutation Failure) ............................................................................ 44
Figure 40: Voltage at Bäcks (Commutation Failure) ............................................................................. 45
Figure 41: Voltage at Storugns (Commutation Failure) ......................................................................... 45
Figure 42: Load Flow Validation ........................................................................................................... 48
List of Appendices
# of
Pages
Appendix 1: Wind Turbine PSS/E Model Distribution
1
Appendix 2: Control Diagrams for PSS/E Library Wind Turbine Model Components 7
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1 Introduction
1.1 Background
In order to develop a reliable model, based on which key decisions can be made, the
model needs to be validated. Studying the model in critical scenarios is the best way
to accomplish this. In power systems however, performing controlled experiments to
collect measurements can be very costly and therefore not a viable option, which is
why it is very important to have measurements from real time faults.
The Gotland power network, owned by GEAB, is expected to undergo some major
changes due to a substantial increase in the amount of installed wind power; it is thus
very important to have an accurate model of the network that would allow for reliable
simulations of the future system. Measurements taken during a recent major three
phase short circuit in the 70 KV system, provide a unique opportunity to validate the
PSS/E model.
1.2 Project Organization
The following master thesis project was carried out at Vattenfall Research and
Development AB, under the supervision of Urban Axelsson and Daniel Wall.
The project was also supervised by Robert Eriksson in the Electric Power
Engineering department at the Royal Institute of Technology (KTH). The project was
assessed by the examiner, Professor Mehrdad Ghandhari.
Work on the project started on the 12th of January 2010 and continued till the end of
June of the same year.
1.3 Project Tasks
The tasks that were expected to be completed during the course of this project were:
• To modify the load flow and dynamic PSS/E models of the Gotland network.
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• To validate the model using two sets of measurements. First by using the
measurements from the three phase fault to validate the dynamic behaviour of the
system and then by measurements during no a windy, normal operation day, to
validate the load flow model.
Each of these tasks will be studied in details in the later chapters of the report.
1.4 Introduction to PSS/E
Power System for Engineering (PSS/E) is the major tool used in the course of this
project. It is made of a set of programs for studies of power system transmission and
generation behaviour in steady state and dynamic situations. It can be used as a tool to
analyze the power flow and the related network functions, the optimal power flow,
balanced and unbalanced faults, network equivalent construction, as well as dynamic
simulation, see PSS/E User Manual [1].
1.5 Prior Work
At the start of the project, the following were made available:
Load flow file: provided by GEAB that includes all the nodes, lines, loads, capacitor
banks and machines connected in the Gotland network. The main modifications
required in this file are:
• To change The wind power generation and load values to correspond to the
scenario of the fault
• To connect/disconnect capacitor banks based on their status at the time of the
fault.
• To lump the wind turbines that were connected at the time of the fault according to
the node they are connected to and the technology they are based on.
Dynamic file: used in prior projects that includes models for the HVDC Light, HVDC
classic link, loads and wind generators. The main modification required in this file is
to change the basic induction generator models used for the wind generators into
more detailed wind turbine models.
For similar work on Gotland, see Persson [2] and Brask [3]
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HULTUNGS
HELLVI
STORUGNS
SLITE
MARTEBO
KÄLLUNGE
KRÄKLINGBO
GARDA
BÄCKS
YGNE
ESKELHEM
KLINTEBYS
ROMA
HEMSE
HAVDHEM
STENBRO
NÄS I
NÄS II
ÖJA
Node
AC Line
HVDC Light
Classic HVDC Link
Synchronous Compensator
1.6 The Gotland Network
The Gotland power network is isolated from the mainland by an HVDC classic link
and the generation on the island is mainly restricted to wind power. The network
includes 1 generator that can produce up to 8 MW of active power and 3 synchronous
compensators that are used to control the frequency. An HVDC light link connects
the wind heavy south of Gotland, at Näs, to the load heavy north at Bäcks. A simple
overview of the network can be seen in Figure 1.
Figure 1: The Gotland Power Network
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Note that the figure also shows the major wind power generation areas: Näs and
Havdhem in the south and Storugns/Hellvi in the north, as well as the largest load
areas: Slite (Cementa factory) and Visby (the largest city in Gotland).
1.7 Report Structure
The report structure is as follows:
1.7.1 Chapter 2 – Validating the Dynamic Behaviour of the Model
Chapter 2 of the report explains in detail the process of the validation of the dynamic
behaviour of the model and includes the following sections:
• Wind Turbines in Gotland: This section talks about the different wind turbines
connected in Gotland at the time of the fault as well as the different wind turbine
models used in PSS/E
• Wind Power Generation and Load Distribution: This section shows the process of
estimating the wind power generation and load at each node in the system, at the time
of the fault.
• Status of Capacitive Banks: In this section, another parameter needed for the fine
tuning of the network to the situation of the fault is discussed: the capacitor banks
connected.
• The Three Phase Fault: This section describes the characteristics of the three phase
faults and describes the process of estimating the times of the different events that
occur during the fault.
• Results of the Simulation: In the final section of this chapter the results of the
simulations are presented. The voltages at three nodes are studied and sensitivity
analysis on several of the parameters is performed. Finally the frequency response of
the system is studied and a conclusion is drawn about the validation of the dynamic
behaviour of the PSS/E model.
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1.7.2 Chapter 3 – Validating the Load Flow Model
Chapter 3 of the report explains in detail the process of the validation of the load flow
model and explains why such a validation was carried out separately from the validation
of the dynamic behaviour discussed in Chapter 2.
1.7.3 Chapter 4 – Conclusions and Future Work
In the final chapter of the report, some concluding remarks are made about the project and several points are suggested for future studies.
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2 Validating the Dynamic Behaviour of the
Model
The first phase of validating the PSS/E model of the Gotland network is to use the
measurements obtained during the three phase fault that was mentioned in Section 1.1
and that is explained in details in Section 2.4. The following chapter describes the
different aspects of this validation.
2.1 Wind Turbines in Gotland
At the time of the fault, 144 wind turbines, ranging from 0.15 to 3 MW, were
operational, with a total capacity of 95.285 MW. These turbines are divided into 21
different models, and distributed to the different nodes of Gotland.
For each node, the wind turbines were lumped together according to the availability
of wind turbine PSS/E models. This amounted to 36 machines in PSS/E distributed to
the different nodes (this distribution can be found in Appendix 1).
7 PSS/E models were made available. 4 of the models are generic PSS/E models:
• Wound rotor induction generator model with variable resistance control
• Doubly fed induction generator model
• Generator model connected to the grid via the power converter
• Directly connected induction generator model
The other 3 models are manufacturer models and are listed as follows:
• Vestas V47 model
• Vestas V90 model with FRT implemented
• Kenersys turbine model
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In what follows, each of these models is briefly explained and the turbines they were
used for are specified. For more detailed explanation of these generic models see
PSS/E Wind Model Library [4].
2.1.1 Wound Rotor Induction Generator Model with Variable Resistance
Optislip turbines have been modelled using the PSS/E standard model for wound
rotor induction generators with variable resistance control (WT2):
This generic model uses the following components:
• WT2G (generator/converter model): This model is based on the CIMTR3 model for
induction generators, with consideration for rotor flux dynamics. At the start of the
simulation, the model calculates the reactive power consumption based on the
terminal voltage and active power dispatch and then places a “hidden shunt” on the
bus to which the machine is connected with size equal to Qgen-Qcalculated. It also
calculates the portion of the external rotor resistance needed to reach steady state.
• WT2E (electrical control model): Based on the rotor machine speed and the active
power output, it calculates the portion of the available external rotor resistance to be
added to the internal rotor resistance, during the simulation (the control diagram of
this model can be found in Appendix 2).
Figure 2: WRIG with Variable Resistance Control
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• WT12T (wind turbine model): It calculates the speed deviations of the rotor on the
machine and on the blade sides (the control diagram of this model can be found in
Appendix 2).
• WT12A (pseudo governor model): uses the blade rotor speed deviation and the real
power at rotor terminals to get the mechanical torque on the rotor blade side that is
used by WT12T (the control diagram of this model can be found in Appendix 2).
The interaction of these 4 models can be illustrated by the block diagram seen in
Figure 3.
Figure 3: Block Diagram for WRIG with Variable Resistance Control Model
This model was thus used for all optislip turbines except for Vestas V47 turbines for
which a manufacturer model was made available.
2.1.2 Doubly Fed Induction Generator Model
No manufacturer models for optispeed turbines without fault ride through (FRT) were
available. The PSS/E user model for doubly fed induction generators with active
control by a power converter connected to the rotor terminals (WT3) was thus used:
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Figure 4: DFIG
The user model uses the following components:
• WT3G (generator/converter model): This model calculates the required injected
current into the network in response to the flux and active current output of the
electrical control model. Flux dynamics have been eliminated to ensure a fast
response to higher level commands from the electrical controls through the converter
(the control diagram of this model can be found in Appendix 2).
• WT3E (converter control model): This model calculates the active and reactive
power to be delivered to the system. Three modes of reactive power control are made
available, constant reactive power, constant power factor angle or voltage regulation
(the control diagram of this model can be found in Appendix 2).
• WT3T (wind turbine model): This model includes a simplified aerodynamic model
that calculates the mechanical power and uses that to calculate the shaft speed (the
control diagram of this model can be found in Appendix 2).
• WT3P (pitch control model): It calculates the blade pitch angle that is used by the
wind turbine model (the control diagram of this model can be found in Appendix 2).
• WT3PLT: It is only used to set up output channels to plot results of dynamic
simulations.
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The interaction of these models is illustrated in block diagram seen in Figure 5.
2.1.3 Full converter Turbines
Full converter turbines without FRT found in the system (mostly Enercon turbines)
have been modelled using the standard PSS/E generic model for generators connected
to the grid via the power converter (WT4):
Figure 6: Full Converter
Figure 5: Block Diagram of DFIG Model
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The different components of the model are:
• WT4G (generator/power converter module): This model calculates the injected
current into the grid based on the active and reactive power outputs of the electrical
control module (the control diagram of this model can be found in Appendix 2).
• WT4E (electrical control module): It performs reactive and active power control
calculations. The control can be chosen among remote bus voltage control, power
factor control and reactive power control. Active power control keeps the power
balance between the machine and the grid injection. No machine simulation is used
(the control diagram of this model can be found in Appendix 2).
The interaction of the two models is illustrated as a block diagram in Figure 7.
2.1.4 Danish Concept Turbines
Danish concept turbines have been modelled using the standard PSS/E generic model
for directly connected induction generators (WT1):
Figure 7: Block Diagram for Full Converter Model
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Figure 8: DCIG
The different components of the model are:
• WT1G (generator/ converter model): It is based on the induction generator model
CIMTR3 and takes into account the rotor flux dynamics. When the dynamic
simulation is initialized, it calculates the reactive power consumption of the machine
based on the terminal voltage and the active power dispatch. It then places a hidden
shunt on the bus that the machine is connected to, with a rating equal to the difference
between the specified Qgen and the calculated Q.
• WT12T (electrical control module): It calculates the speed deviations of the rotor
on the machine and on the blade sides (the control diagram of this model can be
found in Appendix 2 and is the same as that for the WRIG with variable resistance
model).
• WT12A (pseudo governor model): Models the aerodynamic characteristics and
pitch control of the turbine and calculates the aerodynamic torque (the control
diagram of this model can be found in Appendix 2 and is the same as that for the
WRIG with variable resistance model).
The interaction of the different components is illustrated as a block diagram in Figure
9.
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2.1.5 Vestas V47 Turbines
As mentioned in Section 2.1.2, all optislip turbines were modelled by the standard
PSS/E model for wound rotor induction generators with variable resistance control,
except for Vestas V47 turbines for which a manufacturer model was made available.
In total 23 such turbines were operational during the time of the fault, distributed
among 6 nodes. For more information on the details of the model, the reader should
refer to the model datasheet.
2.1.6 Vestas V90 Turbines with FRT
Doubly fed induction generator based wind turbines are very sensitive to grid
disturbances because of using small converters and thus can only survive small
voltage dips. For this reason, the ride through ability is added to newer DFIG turbines
so that they don’t disconnect until the fault is cleared. A widely utilized FRT system
is the use of crowbars. Since the DFIG converter was designed to handle only a part
of the total power, during disturbances, its apparent power capability is not sufficient
to feed the power out to the grid thus low ohmic resistors (crowbars) are connected in
order to drain energy from the system see Thiringer [5].
The FRT capability has become a must for many grid owners, who sometimes
provide a low voltage curve that the wind generator is required to withstand, an
example of this can be seen in Figure 10, see Tsourakis [6].
Figure 9: Block Diagram for DCIG Model
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The standard PSS/E DFIG model does not include this fault ride through capability.
For that reason the V90 manufacturer model was used for those V90 turbines in the
network that are equipped with FRT.
For more information on the details of the specific model provided by Vestas, the
reader should refer to the VestasV90 model datasheet.
2.1.7 Kenersys Turbine
The kenersys turbine is based on the full converter technology and has the FRT
capability. There is only one 2.5 MW kenersys turbine connected in the Gotland
network, at Näs2. For details on the operation of the model, the reader is referred to
the model datasheet.
Figure 10: Grid Code Curve
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2.2 Wind Power Generation and Load Distribution
Unfortunately, accurate values for individual wind power generation and load levels
at the time of the fault were not stored until the initialization of this project since
relays retain the measurement data for only 90 days and it was 95 days after the fault
that it was decided to initiate the project. Assumptions were thus made based on all
the information available.
The total wind power generation and load at the time of the fault were known to be 37
and 100 MW respectively. To be able to choose values for the generation and load at
different nodes, all the available power flow measurements on ac lines were studied;
this allowed dividing Gotland into five regions, as seen in Table 1.
Table 1: Gotland Regions
Region Nodes
A Näs (I & II), Öja, Stenbro
B Hemse, Havdhem
C Hellvi, Storugns, Hultungs
D Slite, Martebo
E The rest of the nodes
The lines separating these regions are listed in Table 2.
Table 2: Lines Separating Regions
Line Connecting Regions* Power Flow (MW)
L41_S1 A to B 9.89
HVDC Light A to E 0.2
L8_S2 B to E 1.57
L2_S4 B to E 6.25
L1_S1 C to D 0.275
L6_S1 E to D 14.84
L7_S1 E to D 21.4
* The sequence is used to show the direction of the power flow at the time of the fault
A summary of this information can be seen in Figure 11.
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Based on the above information (in addition to the fact that it is known that the
transmission on the classic HVDC link from the mainland was 61.63 MW) it is
possible to calculate the power going in or out of each region. This would be the same
as the difference between the generation and load in that region:
HULTUNGS
HELLVI
STORUGNS
SLITE
MARTEBO
KÄLLUNGE
KRÄKLINGBO
GARDA
BÄCKS
YGNE
ESKELHEM
KLINTEBYS
ROMA
HEMSE
HAVDHEM
STENBRO
NÄS I
NÄS II
ÖJA
Node
L6_S1: 14.84 MW
L8_S2: 1.57 MW
L41_S1: 9.89 MW
From mainland:
HVDC Light:
A
C
B
E
D
Area Boundary
Inter-Area Flow
Area Letter
Figure 11: Dividing Gotland into Regions
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Table 3: Pgen-Pload for all Regions
Region Pgen-Pload (MW)
A 9.89
B -2.07
C 0.275
D -36.515
E -33.41
Typical load and wind generation values were then used as a basis to estimate the
load and generation values at the time of the fault such that the conditions in Table 3
as well as those for total load and generation are satisfied.
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2.3 Capacitive Banks
A list of the capacitor banks connected at the 11 kV level at the time of the fault was
provided by GEAB and can be seen in Table 4.
Table 4: Status of Capacitor Banks
0ode MVAr Status
Hultungs 1.5 ON
Fårö 0.75 OFF
Storugns 2.7 OFF
Kräklingbo 1.5 ON
Garda 1.5 OFF
Roma 2.25 ON
Eskelhem 1.5 OFF
Stenbro 0.75 ON
Havdhem 0.75 ON
Öja 0.75 ON
Näs2 1.5 ON*
Pilhagen 2.25 OFF
Elverket_T1 4.5 ON
Elverket_T2 4.5 OFF
Bingeby 4.5 OFF
Länna 5.4 ON
Bäcks 2.25 OFF
Skrubbs 5.4 OFF
Källunge 1.8 ON
Klintebys 2.25 ON*
Hemse 2.25 OFF
*were triggered on after the fault
Optislip and DCIG turbines require reactive power support but no information on
these capacitors at the 690V level was available and thus an assumption was made to
connect capacitors, with ratings equal to 1/3rd the rating of the turbines, at buses
where these turbines are connected. The measurement values of the reactive power
consumption of the different turbines, provided by GEAB, resulted in a power factor
of almost 1 for all turbines, even those that use the optislip and DCIG technology. It
was thus assumed that these measurements were made to include the capacitors
connected to the turbines. To make sure that the reactive power produced by the
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capacitors is not counted twice, the values for the Qgen of the different machines
were set to the measured Qgen – the rating of the capacitor.
2.4 The Three phase Fault
A lightning storm caused a three phase short circuit on the 70 kV line connecting
Ygne to Klintebys. This triggered a series of events in the network. A list of these
events was sent by GEAB, but the times specified for these events were not
synchronized. This can be explained either by the fact that the relays that registered
these events were not synchronised among themselves or that different media access
techniques were used to collect the information from the relays and the time
registered in the events list is the time when the information reached the SCADA
system and not the time the relays registered the events.
Of course to be able to simulate the fault correctly, the time for each event needs to be
identified accurately. For this purpose, measurements on buses or lines closest to the
location of each event were studied. The following events are discussed in this
section:
• The fault
• Clearing of the fault
• Disconnection of 2 transformers in Näs2
• Disconnection of 2 lines in Storugns
• Opening of breaker that disconnects HVDC converter at Näs
• Wind turbine disconnection
• Load disconnection
2.4.1 The fault
The time of the fault is specified as 0 and will be used as a reference for the rest of the event times henceforth.
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According to the information sent by GEAB, the location of the fault was determined by a distance relay in Hemse that showed the distance to the fault to be 36.7 km. Fgure 12 illustrates the location of the fault.
The location of the fault can thus be calculated to be 7.076 km from Ygne. The
impedance of the line from Ygne to Eskelhem is then divided in between the two
sections on both sides of the fault.
Note that the distance relay at Hemse does not take the current from the local
generation at Klintebys into account and thus the distance to the fault might not be
very accurate. A more detailed analysis of this fact as well as a sensitivity analysis on
the effect of changing the distance on the voltages at the different nodes is carried out
in Section 2.5.2.
To simulate the fault, it is important to calculate the fault resistance. In a three phase
fault such as this, the main resistance to consider is the arc resistance that depends
primarily on the fault current and on the length of the arc. There are several models
available for the calculation of the arc resistance derived from experiments. Such
models include the Westinghouse AC arc model, the Neugebauer arc model and
Warrington AC arc model; for literature on all three, see Lindahl [7]. The latter of the
three models shall be used in this project.
Eskelhem
Klintebys Hemse
36.7 km
10.87 km
14.605 km
18.3 km
Ygne
Figure 12: Fault Location
Royal Institute of Technology (KTH)
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For fault currents less than 1000 A, the arc resistance is calculated, according to the
model as:
���� = 28707 ∗ �� .�
Where:
Rarc is the arc resistance in ohms
L is the length of the arc in m
I is the arc current in A
But for fault currents greater than 1000 A, the former formula is no longer valid, the
following formula is to be used instead:
���� = 1804 ∗ ��
The fault current and the arc length are needed. To calculate the length of the arc, the
configuration of the line where the fault occurred is studied:
The length of the arc can thus be estimated to be:
� = 3.62 � = 5.655 �
The fault current changes when one side of the fault is tripped, consequently, the arc
resistance also changes. The diagrams in Figure 14 illustrate the two fault conditions.
3.6 m
arc estimate
Figure 13: Line L8_S1 Configuration
Royal Institute of Technology (KTH)
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The network is thus simulated two times, once with the breaker on the Ygne side
closed and another where it is open. The results of the simulation as well as
calculations of the arc resistance are seen in Table 5.
Table 5: Arc Resistance Calculation
I L R
Breaker closed 6250 5.654867 1.632221
Breaker open 1735.5 5.654867 5.878064
2.4.2 Clearing of the fault
To clear the fault, two events are triggered. First the protection on the line connecting
Ygne to Klintebys opens the breaker on the Ygne side but the breaker on the
Klintebys side fails to open. Instead, after a period of time, the breaker on the line
connecting Klintebys to Hemse opens on the Hemse side.
Since both these events have a significant impact on the entire network, it is easy to
extract the time at which they happen, looking at any of the measurements. The
measurements of voltage in Hemse are used in this case:
Ygne Ygne
Figure 14: Fault Conditions for Calculating Rarc
Royal Institute of Technology (KTH)
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Figure 15: Voltage at Hemse (Breaker Times)
The opening of the breakers is expected to cause a sharp increase in the voltage with a
significant increase in the case of the second breaker since that means the fault is
cleared. Two such increases are noticed in the plot, at times 140 ms and 620 ms. The
fault is both severe and extends over a significant period of time, thus making it ideal
for model validation.
Note that the times of the events have been identified in the Figure 15, with red
arrows and this shall also be the case for the rest of the events described in this
chapter.
During the simulations in PSS/E, while tripping the line to Hemse, the regions in
Klintebys and Eskelhem would become like an island. It is thus important to also
disconnect all the buses that become isolated from the rest of the system, since an
island operation might cause the program to crash.
0
0.2
0.4
0.6
0.8
1
1.2
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6
Vo
lta
ge
(p
u)
Time (s)
0.14s 0.62s
Royal Institute of Technology (KTH)
2.4.3 Disconnection of 2 Transformers in Näs2
Figures 16 and 17 show the timeplots for the voltage and current out of the 10 KV
side of one of the transformers:
0
50
100
150
200
250
300
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
Cu
rre
nt
(A)
Time (s)
Figure 16: Current out of the Transformer in Näs2
0
1000
2000
3000
4000
5000
6000
7000
8000
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
Vo
lta
ge
(v
)
Time (s)
Figure 17: Voltage at the 10kV side of the transformer in Näs2
Royal Institute of Technology (KTH)
Page 26 (52)
Unfortunately the available data is not from the start of the fault and thus it is not
clear when the transformer is disconnected, but the voltage waveform was available
as a screenshot where it is measured from the start of the fault:
Figure 18: Unipower diagram for voltage at Näs2 (10 kV)
From Figure 16 and 17 it is possible to identify the moment when the transformer is
disconnected and by comparing it to Figure 18, the exact time can be identified to be
370 ms after the fault.
An event log sent from the Näs2 substation showed that the two transformers were
disconnected at the same time and thus the disconnection of the second transformer is
also estimated at 370 ms.
Similar to the case when the fault is cleared, disconnecting each of these transformers leaves some buses isolated from the rest of the system and it is important to disconnect them during simulation to avoid a crash in the program.
Royal Institute of Technology (KTH)
2.4.4 Disconnection of 2 Lines in Storugns
The event list shows two lines being tripped in Storugns. Studying the current in these lines (Figure 19 & 20) shows that both lines trip at around 370 ms. Since the 10 kV network is not modelled in PSS/E, the tripping of these lines can be simulated as disconnecting machines connected to these lines.
0
20
40
60
80
100
120
140
160
180
0.00 0.20 0.40 0.60 0.80 1.00 1.20
Cu
rre
nt
(A)
Time (s)
t=0s
t=0.37
s
Figure 20: Current in Line1 in Storugns
0
10
20
30
40
50
60
70
80
90
0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80
Cu
rre
nt
(A)
Time (s)
t=0s
t=0.37s
Figure 19: Current in Line2 in Storugns
Royal Institute of Technology (KTH)
2.4.5 Opening of Breaker that disconnects HVDC converter at Näs
The time that this breaker was opened
was not registered during the fault. To
be able to estimate this time, the
current in all lines going out of Näs 1
were studied. The adjacent figure is an
overview of the Näs 1 station.
Thus to get the time at which the
breaker seen in the figure opens, the
currents through L41_S3 and out of
the 70 KV side of the transformer are
subtracted from the current through
line L41_S2. The instantaneous values
of the 3 recordings were summed up
based on the direction of current flow and
then the rms of the result was calculated and can be seen in the figure below.
Figure 21: Näs1 substation
0
200
400
600
800
1000
1200
0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 1.00
Cu
rre
nt
(A)
Time (s)
t=0.2s
t=0.3st=0s
Figure 22: Current Flowing through Transformer Connected to HVDC Light
Royal Institute of Technology (KTH)
Page 29 (52)
Three major changes in the graph can be noticed. The first is at 140 ms, which is the
time the breaker on the Ygne side was opened, the other two are at 200 and 300 ms
respectively. Since no further information is available on how the HVDC converter
was disconnected, both these times are possible. In what follows, 300 ms is taken as
the time the breaker was opened, as that is the time when the current goes down to
zero, but in Section 2.5.3, a study is made on the effect of taking the breaker opening
time 200 ms instead.
It is important to note that HVDC light disconnecting at Näs right before the
converter means the converter at Näs is isolated from the rest of the system. For a
correct dynamic behavior of the model, the control mode for converter 2 (at Näs)
should be switched to passive net operation; otherwise it could cause a crash in the
program.
2.4.6 Wind Turbines disconnection
No information was available on the disconnection of individual turbines, but wind
turbines are not able to survive 600 ms faults unless they have the FRT capability.
Since the lines at Storugns and the transformers at Näs2 are disconnected at 370 ms,
this shall also be the time chosen for disconnecting all wind turbines without FRT.
2.4.7 Load Disconnection
The load at Cementa was reduced from 34 MW at the start of the fault to 1.5 MW
after it. No information however is available on when the load is actually
disconnected. Based on numerous simulations, 140 ms has been estimated as the time
for disconnection. A study on the effect of not disconnecting the load at Cementa is
made in Section 2.5.4.
Royal Institute of Technology (KTH)
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2.4.8 Summary of Events
Table 6 summarizes the events list:
Table 6: Three Phase Fault Event List
Event Time
Three phase fault on line connecting Ygne to Klintebys 0
Circuit breaker trips on Ygne side
Cementa load is disconnected
140 ms
HVDC light is disconnected at Näs right before the
converter
300 ms
2 transformers in Näs2 are disconnected
All wind turbines without FRT are disconnected
370 ms
Circuit breaker of trips on Hemse side 620 ms
Royal Institute of Technology (KTH)
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HULTUNGS
HELLVI
STORUGNS
SLITE
MARTEBO
KÄLLUNGE
KRÄKLINGBO
GARDA
BÄCKS
YGNE
ESKELHEM
KLINTEBYS
ROMA
HEMSE
HAVDHEM
STENBRO
NÄS I
NÄS II
ÖJA
Node
AC Line
HVDC Light
Classic HVDC
Measurement
Fault Location
2.5 Results of the Simulation
In this section, the voltage at three different nodes in the network is studied for
validating the model against the measurements; these are: Hemse (70kV), Bäcks
(11kV) and Storugns (11kV). The reason these three nodes were chosen, is because
clear voltage measurements are available for them and the nodes are geographically
diverse allowing for a more comprehensive analysis. The location of the three nodes
as well as the fault can be seen in Figure 23.
In addition to presenting the results and comparing them to the measurements,
sensitivity analysis is made for several of the parameters that were chosen based on
assumptions. These include:
• Fault location
• Disconnection time of HVDC Light converter in Näs
• Load disconnection at Cementa
Figure 23: Measurements Used for Validation
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2.5.1 Comparison with Measurements
In the following section, a comparison is made between the measurements and the
simulation results for each of the three nodes.
2.5.1.1 Voltage at Hemse
Figure 24: Voltage at Hemse (meas. vs results)
Looking at the graph, the following observations are made:
• At t=0s, when the fault is introduced, the voltage drop that follows in the
simulation seems to be sharper than the drop seen in the measurement. A probable
explanation for this is that the physical fault did not start as a three phase fault but
rather progressed into one, this however is not possible to simulate in PSS/E where
the fault simulated is three phase and symmetric.
• In the period between 200 ms and 300 ms, there seems to be a slight difference
between the two curves. One parameter that seems to affect this is the time at which
0
0.2
0.4
0.6
0.8
1
1.2
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6
Vo
lta
ge
(p
u)
Time (s)
Measurement
Simulation Result
Royal Institute of Technology (KTH)
Page 33 (52)
the HVDC converter at Näs is disconnected. This will be further analyzed in Section
2.5.3.
• After 620 ms (time at which the fault is cleared by the opening of the breaker at
Hemse), there seems to be an obvious discrepancy between the measurement and the
simulation results. The voltage increases to a value above what is seen in the
measurements and then it drops to a slightly lower steady state. Looking at the
measurement curve, it appears as though an event occurs at around 630 ms that
causes a sudden drop in the voltage at the three nodes. It is however not possible to
predict the nature of the event, because of the lack of additional information.
2.5.1.2 Voltage at Storugns
Figure 25: Voltage at Storugns (meas. vs results)
Looking at the graph, the following observations are made:
• The voltage drop that follows the introduction of the fault has the same
characteristics as the one seen at Hemse. However, in addition to the sharp voltage
drop, the voltage also drops to a value lower than that observed in the measurement.
After studying the different parameters, it was revealed that the exact location of the
0
0.2
0.4
0.6
0.8
1
1.2
0 0.5 1 1.5 2
Vo
lta
ge
(p
u)
Time (s)
Measurement
Simulation Result
Royal Institute of Technology (KTH)
Page 34 (52)
fault on the line connecting Ygne to Klintebys could have a significant impact on this;
this impact is further studied in Section 2.5.2.
• After the first breaker is opened (at 140 ms), the voltage recovery seems to be
slower than in the measurements. One factor that affects this is the disconnection of
loads. In the simulated case, the load at Cementa was disconnected at 140 ms, but
without the disconnection, the recovery would have been even slower, thus it is
possible that there were other loads that were disconnected. The effect of the
disconnection of the load at Cementa is studied in more detail in Section 2.5.4.
Another factor that could play an important role in the voltage recovery is the
transient behavior of the PSS/E model for the HVDC light converters, which could be
reacting too slow compared to how it reacts physically, however with no
measurements on the HVDC light, this cannot be confirmed or refuted.
• Finally, the same observation can be made for voltage profile at Storugns after the
opening of the breaker at Hemse (at 620 ms) as for the voltage profile at Hemse.
2.5.1.3 Voltage at Bäcks
Figure 26: Voltage at Bäcks (meas. vs results)
0
0.2
0.4
0.6
0.8
1
1.2
0 0.5 1 1.5 2
Vo
lta
ge
(p
u)
Time (s)
Measurement
Simulation Result
Royal Institute of Technology (KTH)
Page 35 (52)
The same observations can be made for the voltage profile at Bäcks as for the voltage
profile at Storugns. However, from 300 ms to 600 ms, the voltage at Bäcks seen in
the results of the simulation is lower than the actual measurement, something that is
not seen as clearly in Storugns. It is not clear if fixing the voltage recovery would also
fix this problem. This could be a sign of some missing components in the model
(maybe capacitive banks) or perhaps the misbehavior of one of the models;
unfortunately with the lack of additional measurements, it was not possible to
pinpoint where the problem lied. In terms of network behavior, this could mean that
an analysis of the results would suggest that some undervoltage protection relays
would trip in certain situations even though they would not in the physical network
(for example, looking at Figure 26, we would falsely predict undervoltage protection
relays that are set to trip for voltages below 0.8 pu and after 300 ms to trip at Bäcks).
2.5.2 Fault Location
As mentioned in Section 2.4.1, the location of the fault based on the distance relay
estimate might not be very accurate. To better explain the reason behind this margin
of error, the operation principle of the distance relays is studied.
For a line, like that connecting Ygne to Klintebys, that is fed from both sides (refer to
Figure 24), the measured impedance at one side of the line by the distance relay can
be interpreted as:
��������� = ��� � + �" #��� + 1$
Where RF is the fault resistance, I is the measured current contribution at the location
of the relay and Ir is the current contribution from the other side of the line. Zline is the
impedance from the location of the relay to the point of the fault and ���������is the ratio of the voltage to the current seen at the location of the distance relay, see Urresty
[8].
Figure 27: Multiple Source Line
Z<
Ir I
Royal Institute of Technology (KTH)
Page 36 (52)
But in the case of the calculation of the fault distance in the Gotland network, it was
made at Hemse, and not at Klintebys, and thus there is an infeed (due to the wind
turbines connected at Klintebys). This effect is illustrated in Figure 28.
The impedance seen by the distance relay is not the actual impedance from the point
of measurement to the fault since there is a third current contribution that is not taken
into consideration by the relay. Since there is an infeed current coming from
Klintebys, the distance given by the relay is an overestimation (If there was an
outfeed current, the distance would have been underestimated), see Alexander [9]
An inaccurate fault location means wrong values for the arc resistance, which could
affect the simulation results. A sensitivity analysis was thus performed to study this
effect. The voltages at the three nodes were studied by considering the fault to be at
Eskelhem, Ygne or the location specified by the distance relay (refer to Figure 29 to
see the three locations considered):
Z<
Hemse
Klintebys Ygne
Ir I Iinfeed
Figure 28: The Infeed Effect
Eskelhem
Klintebys Hemse
Ygne
Figure 29: Fault Locations - Sensitivity Analysis
Royal Institute of Technology (KTH)
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The resulting graphs can be seen in Figures 30 to 32 seen below:
Figure 30: Voltage at Hemse (Fault Locations)
0
0.2
0.4
0.6
0.8
1
1.2
0 0.5 1 1.5
Vo
lta
ge
(p
u)
Time (s)
measurement
Fault at Ygne
Fault at Location Estimated
by Distance Relay
Fault at Eskelhem
Royal Institute of Technology (KTH)
Figure 31: Voltage at Storugns (Fault Locations)
0
0.2
0.4
0.6
0.8
1
1.2
0 0.5 1 1.5
Vo
lta
ge
(p
u)
Time (s)
measurement
Fault at Ygne
Fault at Location Estimated
by Distance Relay
Fault at Eskelhem
Figure 32: Voltage at Bäcks (Fault Locations)
0
0.2
0.4
0.6
0.8
1
1.2
0 0.5 1 1.5
Vo
lta
ge
(p
u)
Time (s)
measurement
Fault at Ygne
Fault at Location Estimated
by Distance Relay
Fault at Eskelhem
Royal Institute of Technology (KTH)
Page 39 (52)
Studying the three graphs it seems choosing the fault location as that specified by the
distance relay is the best option for the voltage profile at Hemse but choosing it at
Eskelhem would fit best for Storugns and Bäcks. The fault can thus be estimated to be
located somewhere in between Eskelhem and the location calculated by the distance
relay. Note that this agrees with the previous expectation of the location of the fault
having been overestimated by the distance relay.
The location of the fault seems to have a considerable effect on the voltage at Hemse
after the disconnection of the breaker at Ygne but before the disconnection at
Storugns and Bäcks.
2.5.3 Disconnection Time of HVDC Light in Näs
In Section 2.4.5, it was stated that the exact time of the disconnection of the HVDC
Light converter in Näs is not clear and two probable times were identified. The
difference in taking the two times as compared to the measurements is studied. Only
the graph for Hemse is included since the effect on the voltage profiles at Storugns
and Bäcks (which are located in the north of Gotland as opposed to Hemse and Näs)
is not noteworthy.
Figure 33: Voltage at Hemse (HVDC Disconnection)
0
0.2
0.4
0.6
0.8
1
1.2
0 0.5 1 1.5 2
Vo
lta
ge
(p
u)
Time (s)
Measurement
HVDC at 300 ms
HVDC at 200 ms
Royal Institute of Technology (KTH)
Disconnecting the HVDC Light converter in Näs at 200 ms provides better
correspondence between the measurement and simulation result than disconnecting it
at 300 ms; with the absence of any further sources of information, it can be assumed
that 200 ms is the correct time for the disconnection.
2.5.4 Load Disconnection at Cementa
The load at Cementa decreases from 34 MW before the fault to 1.5 MW after it, but
no information on the time of the disconnection is available. The following section
studies the effect of not considering any load disconnection on the results of the
simulation.
0
0.2
0.4
0.6
0.8
1
1.2
0 0.5 1 1.5
Vo
lta
ge
(p
u)
Time (s)
measurement
cementa load disconnected
at 140ms
cementa load not
disconnected
Figure 34: Voltage at Hemse (Cementa Load)
Royal Institute of Technology (KTH)
Figure 36: Voltage at Storugns (Cementa Load)
Without disconnecting the load at Cementa, the voltage seems to recover more slowly
especially in Storugns and Bäcks which are geographically closer to Cementa than
Hemse. This can be explained by the fact that the load at Cementa would draw
reactive power from the system and hinder voltage recovery. It is thus acceptable to
0
0.2
0.4
0.6
0.8
1
1.2
0 0.5 1 1.5
Vo
lta
ge
(p
u)
Time (s)
measurement
cementa load disconnected at
140ms
cementa load not
disconnected
0
0.2
0.4
0.6
0.8
1
1.2
0 0.5 1 1.5
Vo
lta
ge
(p
u)
Time (s)
measurement
cementa load disconnected
at 140ms
cementa load not
disconnected
Figure 35: Voltage at Bäcks (Cementa Load)
Royal Institute of Technology (KTH)
Page 42 (52)
assume that the load is disconnected around the same time (or slightly before) the
disconnection of the first breaker at Ygne.
2.5.5 Frequency Analysis of the System
The graph seen in Figure 37 shows a comparison between the simulation results and
measurements obtained for the frequency of the system at Storugns since this was the
only node where a measurement for frequency was available.
Figure 37: Frequency Variation (meas. vs results)
As seen in the figure, the frequency response of the simulation is slower than in the
measurements. Possible explanations for this are:
• The models for the synchronous machines in the system (NG.14, NG.13 and
NG.11) do not react transiently fast enough.
• The frequency regulator is not as accurate for long duration faults as for less severe
faults or cases of load disconnection or generation disconnection that have been
studied earlier, see Persson [3].
46.5
47
47.5
48
48.5
49
49.5
50
50.5
51
51.5
52
0 0.5 1 1.5
Fre
qu
en
cy (
Hz)
Time (s)
measurement
simulation Result
Royal Institute of Technology (KTH)
Page 43 (52)
• Commutation failure happens in the HVDC link, something which is not included
in the PSS/E model of the link.
While studying the accuracy of the models for the synchronous machines and the
frequency regulator are beyond the scope of this project, a further study into the
commutation failure of the HVDC link was carried out.
Commutation failure is a possible malfunction in the converter of the HVDC link due
to a fault in the AC side that causes severe voltage drops. It results in an interruption
of the power flow.
Since no measurements are available for the transmission on the HVDC link, the
HVDC has been disconnected and reconnected at different times during the fault and
the effect on the frequency of the system as well as the voltage at the different nodes
is studied.
Figure 38: Frequency Variation (commutation failure)
Looking at Figure 38, it can be seen that the frequency profile seems to look better
when we consider the HVDC link to have undergone commutation failure;
nevertheless the rate at which the frequency decreases is too high and the frequency
ends up dropping to 47 Hz instead of 48Hz (for the case when the HVDC is
disconnected at 250ms).
46
47
48
49
50
51
52
0 0.2 0.4 0.6 0.8 1 1.2 1.4
Fre
qu
en
cy (
Hz)
Time (s)
measurement
no disconnection
disconnecting at 0.25s and
Reconnecting at 0.62s
Disconnecting at 0s and
Reconnecting at 0.62s
Royal Institute of Technology (KTH)
Page 44 (52)
One explanation for this is that disconnecting the HVDC link and reconnecting it
after the fault is cleared might not be a good way of modeling the commutation
failure; Once the HVDC link is disconnected, and the first breaker at Ygne opens, the
voltage at the connection point of the link rises above 0.8 pu, which means
commutation failure would stop but at this point when the HVDC link is reconnected,
the voltage drops again and thus the HVDC link will need to be disconnected in the
simulation once more and this process continues and is not easy to simulate in PSSE
without commutation failure being implemented in the HVDC link model itself.
It is important to note that the difference between simulation results and the
measurements seen in Figure 37 could be the result of a combination of the possible
explanations previously mentioned in this section, but without any additional
measurements or information, it is not possible to give a definite conclusion.
Although the simulation of the commutation failure by disconnecting the link and
reconnecting it after the fault is cleared is not necessarily accurate, it is nevertheless
interesting to study the voltages at the different nodes for such a simulation:
Figure 39: Voltage at Hemse (Commutation Failure)
0
0.2
0.4
0.6
0.8
1
1.2
0 0.5 1 1.5
Vo
lta
ge
(p
u)
Time (s)
measurement
no disconnection
Disconnecting at 0.25s and
Reconnecting at 0.62s
Royal Institute of Technology (KTH)
Page 45 (52)
Figure 40: Voltage at Bäcks (Commutation Failure)
Figure 41: Voltage at Storugns (Commutation Failure)
The impact of the HVDC link disconnection on the voltages at the three nodes does
not seem to be significant. The voltage profiles seem to improve slightly especially
after the clearance of the fault and reconnection of the HVDC link.
0
0.2
0.4
0.6
0.8
1
1.2
0 0.5 1 1.5
Vo
lta
ge
(p
u)
Time (s)
measurement
no disconnection
Disconnecting at 0.25s and
Reconnecting at 0.62s
0
0.2
0.4
0.6
0.8
1
1.2
0 0.5 1 1.5
Vo
lta
ge
(p
u)
Time (s)
measurement
no disconnection
Disconnecting at 0.25s and
Reconnecting at 0.62s
Royal Institute of Technology (KTH)
Page 46 (52)
2.5.6 Conclusion
Despite the uncertainties surrounding the different parameters that make up the
scenario for which the model is validated, it is nevertheless clear that the model
behaves in accordance with the real life system. The only factor that seems to vary
significantly is the frequency; possible reasons for this have been explained in Section
2.5.5. Further studies are suggested to ensure a better frequency response of the
model. Another thing that needs to be looked into in more details is the voltage
recovery in the north of Gotland that seems to be slower than what has been observed
in the measurements, whether this is due to missing or misbehaving components in
the network model needs to be identified.
Royal Institute of Technology (KTH)
Page 47 (52)
Royal Institute of Technology (KTH)
Page 48 (52)
HULTUNGS
HELLVI
STORUGNS
SLITE
MARTEBO
KÄLLUNGE
KRÄKLINGBO
GARDA
BÄCKS
YGNE
ESKELHEM
KLINTEBYS
ROMA
HEMSE
HAVDHEM
STENBRO
NÄS I
NÄS II
ÖJA
Node
AC Line
HVDC Light
Classic HVDC Link 25.9
25.9
29
28.1
29.9
29.3
19.1
19
16.5
15
15.7
16
13.4
13
19.6
18
19
16
11
10
37.4
30 7.5
7
19
18
15.9
16
1.1
1.1 9.8
10
123 simulation result
123 measurement
10.8
10.9
3 Validating the Load Flow Model
It was explained in Section 2.2 of this report that the wind power generation and load
values used for simulating the fault scenario were chosen so as to make sure that the
flows on certain lines correspond to the available measurements. This however means
that it was not possible to validate the model in what concerns the flows on the
different lines based on the results of these simulations. For that reason, a second set
of measurements were taken at an instant during a windy day with high load and
normal system operation and then system was simulated for the conditions of that
instant. The results are illustrated in Figure 42 below.
Figure 42: Load Flow Validation
Royal Institute of Technology (KTH)
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The most noticeable differences between the load flow simulation results and the
measurements are summarized in Table 7:
Table 7: Load Flow Validation
Line Simulation Result Measurement
Hemse to Klintebys 16.5 15
Klintebys to Ygne 19 16
Roma to Kallunge 19 18
Ygne to Bäcks 37.4 30
Ygne to Roma 11 10
It was confirmed by GEAB that the differences seen at the Ygne substation, can be
explained by faulty transducers. The differences in the other lines are relatively
smaller and might be explained by the fact that most measurements available seem to
be rounded to the nearest integer. Another factor that may have affected the results is
the modeling of the transmission losses in the system and the fact that no load losses
for transformers are not considered in the model.
Nevertheless, the distribution of the power in between the lines for this high load,
high production scenario seems to be in accordance with the measurements and the
load flow model can thus be considered reliable.
Royal Institute of Technology (KTH)
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Royal Institute of Technology (KTH)
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4 Conclusion and Future Work
The results seen in Chapters 2 and 3 show that the behaviour of the model seems to
correspond well with the real time measurements, however there were several factors
that hindered the validation process and should be considered for future validations.
These include:
• The wind power production and load values were not recorded accurately for all the
nodes in the network. This was mainly due to the fact that recordings are stored in the
relays for only 90 days and thus in case of future faults, it is important to retrieve them
before that time.
• The measurements taken during the fault were not enough and this limited the
analysis that could be made in several areas. In the future, measurements should be
taken for as many power flows and node voltages as possible, in addition to frequency
measurements and measurements on important components in the system such as the
synchronous compensators, the HVDC light converters and the HVDC classic link.
• The times of the different events on the event list were not synchronized, this lead to
the need to estimate the times based on available measurements which were in some
cases not enough.
It is also important to study the transient responses of several components in the model,
such as the synchronous compensators and the HVDC light converters to make sure that
they react fast enough in severe fault situations as that studied in Chapter 2.
Finally, the PSS/E model for the HVDC link needs to be revised in order to account for
commutation failure.
Royal Institute of Technology (KTH)
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Bibliography
[1] Siemens Power Technologies International, “PSS/E Users Manual”, PSSE/ 31.0,
December 2007.
[2] Siemens Power Technologies International, “PSS/E Wind Model Library”, pp 29-50
(56), January 2009.
[3] J. Persson, Vattenfall Research and Development AB, U-NE, “Uppgradering av
N%& tmodellen F'&r Gotland I PSS/E”, June 2009.
[4] M. Brask, Vattenfall Research and Development AB, U-NE, “Modelling of the
Power System of Gotland in PSS/E with Focus on HVDC Light”, April 2008.
[5] T. Thiringer, J. Paixao & M. Bongiorno, Elforsk, “Monitoring of the Ride-Through
Ability of a 2 MW Wind Turbine in Tvååker, Halland”, pp 10-11 (88), February 2009.
[6] G. Tsourakis & C. D. Vournas, National Technical University of Athens,
“Simulation of Low Voltage Ride Through Capability of Wind Turbines with Doubly
Fed Induction Generator”, pp 1 (9), March 2009.
[7] S. Lindahl, “Effect of Geomagneticaaly induced currents on protection systems”, p.
157-159 (345), December 2003.
[8] C. Gallego, J. Urresty, & J. Gers, IEEE, “Analysis of Phenomena that Affect the Distance Protection”, pp 1 (7), 2008. [9] G. E. Alexander & J. G. Andrichak, GE Power Management, “Application of Phase and Ground Distance Relays to Three Terminal Lines”, pp 1-2 (17).
Appendix A
Wind Turbine PSS/E Model Distribution
PSSE model
Bäcks Garda Havdhem Hellvi Hultungs Klint. Kräklingbo Källunge
WRIG with Rvar 0 1200 1450 6000 0 0 0 0
V47 660 0 2640 2640 0 660 0 660
DFIG 0 0 7650 0 0 0 0 0
DCIG 0 450 0 0 0 490 200 150
Full Coverter 0 0 0 1000 1000 500 0 500
Kenersys 0 0 0 0 0 0 0 0
V90 with FRT 0 0 0 0 0 0 0 0
PSSE model
Länna Martebo Näs 1 Näs 2 Roma Sten. Storugns Öja
WRIG with Rvar 600 825 0 11150 0 600 225 0
V47 0 0 0 3960 0 0 3960 0
DFIG 0 0 0 4160 0 0 4500 0
DCIG 0 650 5530 8640 150 1730 55 2500
Full Coverter 0 0 0 1000 0 0 2700 0
Kenersys 0 0 0 2500 0 0 0 0
V90 with FRT 0 0 9000 3000 0 0 0 0
Appendix B
Control Diagrams for PSS/E Library Wind Turbine Model
Components
Note that all the diagrams illustrated in this appendix are taken excerpts from the PSS/E Wind
Model Library and I have not contributed in any way in their development.
WRIG with Variable Resistance
WT2E:
WT12T:
WT12A:
Doubly Fed Induction Generator Model
WT3G:
WT3E:
WT3T:
Wind Turbine Module for the Single Mass Mechanical System
Two Mass Torsional Module
WT3P:
*The pitch Control and Pitch Compensation integrators are non-windup integrators as a function
of the pitch, i.e. the inputs of these integrators are set to zero when the pitch is in limits (Pmax or
Pmin) and the integrator input tends to force the pitch command further against its limit. The
outputs of these integrators are not limited except by the lower (zero) limit on the Pitch
Compensation integrator.
Directly Connected Induction Generator Model
WT4G:
WT4E: