Upload
others
View
1
Download
0
Embed Size (px)
Citation preview
@IJMTER-2016, All rights Reserved 178
MODELING AND CONTROLOF GRID CONNECTED HYBRID
POWERPLANT
B.K.Prusty1
, Dr.C.K.Panigrahi2 and Dr.S.M.Ali
3
1Research Scholar, School of Electrical Engineering, KIIT University, BBSR-751024
2Professor, School of Electrical Engineering, KIIT University, BBSR-751024
3AssociateProfessor, School of Electrical Engineering, KIIT University, BBSR-751024
Abstract- In electric distribution system Power control of a hybrid generation system that is wind
and solar system for interconnection operation is presented in this paper. Renewable resources such
as the solar wind etc offers clean, abundant energy .As the power demand increases power failure
also increases so the renewable energy can be used to provide constant loads. To converting the
basic circuit equation of solar cell into simplified form a model developed including the effects of
changing solar irradiation and temperature. This paper consists of PMSG as a wind generator, solar
array, dc-dc converter and grid interface inverter. Power control strategy is used to extract the
maximum power. Maximum power point tracker (MPPT) control is essential to ensure the output of
photovoltaic power generation system at the maximum power output as possible. There are many
MPPT techniques. In this paper perturbation & observation (P&O) method and incremental
conductance (IncCond) method are used and simulated in Mat lab/Simulink. The voltage source
inverter interface with grid transfers the energy drawn from the wind turbine and PV array to the
grid by keeping common dc voltage constant. The simulation results show the control performance
and dynamic behaviour of the hybrid wind-PV system.
Keywords-Wind Turbine,DC-DC Converter, permanent magnet synchronous generator Maximum
power point tracker (MPPT)
I. INRODUCTION
Combined win-PV hybrid generation system utilizes the solar and wind resources for electric
power generation. Individual wind and solar renewable sources have unpredictable random
behaviour [2]. As throughout the day solar energy is present but due to the sun intensity and
unpredictable shadows by the clouds, birds, trees etc the solar irradiation levels varies. Due to this
cause solar energy is unreliable and less used. Wind is a form of solar energy. Due to the uneven
heating of the atmosphere by the sun wind flow. Due to the earth terrains, bodies of water and
vegetation the wind flow patterns are modified. Wind turbine converts the kinetic energy in the wind
in to mechanical then to electrical by rotating the generator which are connected internally. Wind is
highly unpredictable in nature as it can be here one moment and gone in another moment but it is
capable of supplying large amount of power. Due to this concept of wind energy it is an unreliable
one and less used. So it is better to use hybrid generation system which is better than individual wind
or individual PV generation system. So it is overcome the demerits of individual system. Grid
interface of hybrid generation system improves the system reliability
International Journal of Modern Trends in Engineering and Research (IJMTER) Volume 03, Issue 07, [July– 2016] ISSN (Online):2349–9745; ISSN (Print):2393-8161
@IJMTER-2016, All rights Reserved 179
Fig. 1.1system representing Grid-connected hybrid wind/PV
In this system there is a wind turbine, the output of the wind turbine goes to permanent
magnet synchronous generator. The output of the wind system is in ac so we need ac to dc converter
to convert the ac output in to dc .Similarly in the PV side the output of the PV array is connected
with a dc-dc boost converter to rise the output voltage up to a desire level. And the output of PV and
wind are connected with a common DC link voltage. The common DC link voltage will be
connected with the DC to AC converter and the output of the inverter is synchronizing with grid.
This inverter changes DC power from PV array and the wind turbine into AC power and it maintain
the voltage and frequency is equal to the grid voltage and frequency.
II. MODELING OF A SOLAR CELL
PV array are formed by combine no of solar cell in series and in parallel. A simple solar cell
equivalent circuit model is shown in figure [4,5]. Solar cell are connected in series to provide greater
output voltage and combined in parallel to increase the current. Hence a particular PV array is the
combination of several PV module connected in series and parallel. A module is the combination of
no of solar cells connected in series and parallel. There are many stages are used in grid connected
PV system like PV array, DC to DC converter, DC to AC converter. In this paper a model is
developed through converting common circuit equation of solar cell in to simplified form including
the effects of changing solar irradiation and changing temperature. In this paper a control approach
for interfacing the PV array with DC-DC converter is established
FIg.2.1 Circuit diagram of a single PV cell
International Journal of Modern Trends in Engineering and Research (IJMTER) Volume 03, Issue 07, [July– 2016] ISSN (Online):2349–9745; ISSN (Print):2393-8161
@IJMTER-2016, All rights Reserved 180
Photo-current of the module: Iph= [Iscr + ki (T - 298)] * λ / 1000 Reverses saturation current of the module:
Irs = Iscr / [exp(qVoc/NskAT) - 1
Saturation current of the module I0 :
I0= Irs[ ]3 exp[ ]
The current output of PV module:
Ipv = Np Iph – Np * I0[exp{ } - 1]
This equation is used to simulate in mat lab/Simulink and the result shows the nonlinear
characteristics of photovoltaic array at different irradiations and temperature.
Table 1 : Solar Module (36 W) Specification
Rating 37.08 W
Current at Peak 2.25 A
Voltage at Peak 16.56 V
Short circuit current 2.55 A
Open circuit voltage 21.24 V
Total number of cells in parallel 1
Total number of cells in series 36
Fig.2.2 V-I & P-V Characteristics of a 36w PV module
With different temperature and solar radiation output characterstics of PV and VI are simulated and
shown in figure below.
International Journal of Modern Trends in Engineering and Research (IJMTER) Volume 03, Issue 07, [July– 2016] ISSN (Online):2349–9745; ISSN (Print):2393-8161
@IJMTER-2016, All rights Reserved 181
40
35
1000W/m2
Temperature=25 C
30 800W/m2
Po
we
r(P
pv)
600W/m2
25 400W/m2
20 200W/m2
Mo
du
le
15
10
5
0 0 5 10 15 20 25
Module Voltagep(v)
Fig.2.3P-V characteristics with different irradiance
3
Temperature(T) =30 ° C 1000 W/m2
800 W/m2
2.5
600 W/m2
400 W/m2
Mo
du
le C
urr
en
t(Ip
v)
2 200 W/m2
1.5
1
0.5
0 0 5 10 15 20 25
Module Voltage(Vpv)
Fig.2.4 V-I characteristics with different irradiance
Fig.2.5 P-V characteristics with different temperature
Maximum Power Point of a solar module varies with the variation of irradiation and
temperature So MPPT algorithms are necessary in PV applications because by the use of MPPT
algorithms it obtain the peak power from the solar panel.There are two methods of MPPT[9,10]
technique are discussed below. The P & O method and INC method are based on “hill-climbing”
principle, which consists of moving the operating point of the PV panel in the direction in which
International Journal of Modern Trends in Engineering and Research (IJMTER) Volume 03, Issue 07, [July– 2016] ISSN (Online):2349–9745; ISSN (Print):2393-8161
@IJMTER-2016, All rights Reserved 182
power increases. These two methods are most popular methods due to the ease of implementation
and good performance when irradiation is constant. Also these methods are simpler and require low
computational power.
Fig.2.6 Flow Chart of (P&O) Algorithms
Fig.2.7 Flow Chart of Incremental Conductance Method
Both the MPPT methods that is P&O and IncCond methods are used for maximum
PowerPoint tracking. The Porter and Observer algorithm is simple in operation and required less
hardware as compared to other but in this method the power loss is little more as compared to the
International Journal of Modern Trends in Engineering and Research (IJMTER) Volume 03, Issue 07, [July– 2016] ISSN (Online):2349–9745; ISSN (Print):2393-8161
@IJMTER-2016, All rights Reserved 183
other Method due to the output of the PV array oscillate around the MPP. Similarly the Incremental
Conductance Method has better control and smaller oscillation but the hardware requirement is
more.
III. WIND TURBINE
Wind is a form of solar energy available in the form of that kinetic energy of air.wind power
is the fast growing source of energy. By using the power of the wind turbines produce electricity by
drive an electrical generator. Moving force is exerted and generates lift when wind is passing over
the blades. The rotating blades rotate the shaft which is connected with the gearbox. The gearbox
adjusts the rotational speed which is convenient for the generator to get a desired output. The output
of the wind generator is fed to the transformer which converts the electricity of the generator up to
33 kv.Which is the appropriate voltage for power system[21].Depending on the wind specification
values, the wind characteristics graph are shown below using Mat lab/simulink
Table 2: Wind Turbine Specification
Fig.3.1 Characteristics of torque vs. speed with different wind speed
Rating 10 kW
Diameter 8 m
Number of blades 3
Cut in speed of wind 3 m/s
Cut out speed of wind 25 m/s
Rated Wind speed 10 m/s
Air density 1.225 kg/m3
International Journal of Modern Trends in Engineering and Research (IJMTER) Volume 03, Issue 07, [July– 2016] ISSN (Online):2349–9745; ISSN (Print):2393-8161
@IJMTER-2016, All rights Reserved 184
Fig.3.2.Characteristics of power vs. speed with different wind speed
IV. CONTROL STRATEGY
The Complete Control Strategy to connect the PV system with Grid
Fig.4.1 Control Strategy to connect the PV system with Grid
MPPT receive the PV voltage and current and generate a reference voltage and this reference
voltage is coming from the MPPT. The output of the MPPT is fed to the PWM which gives the gate
control signal to the DC_DC converter. The Modelling of 3-Φ Voltage source Inverter is shown
below.
Fig.4.2 Modelling of 3-Φ Voltage source Inverter system
International Journal of Modern Trends in Engineering and Research (IJMTER) Volume 03, Issue 07, [July– 2016] ISSN (Online):2349–9745; ISSN (Print):2393-8161
@IJMTER-2016, All rights Reserved 185
In distribution power generation system three phase VSI are used to interfere between DC &
AC system. For the control of active and reactive power along with constant DC link voltage
different control technique are used to the three phase grid connected voltage source Inverter. Here
the filter is a low pass filter to eliminate high frequency. Phase locked loop is a control system used
to generate an output signal whose phase is equal to the input signal.
V. SIMULATION, RESULTS & DISCUSSION
Table 3 : PV array Specification
Rating 8.6 kW
Rating of Module 36 W
Number of series Module 21
Number of Parallel Module 11
Open Circuit Voltage 446 V
Short Circuit Current 28 A
Voltage at Peak 348 V
Current at Peak 24.75A
Table 4 : Wing Generator Specification
Armature Resistance 0.425 ohm
Magnetic flux leakage 0.433 waber
Stator inductance 8.4 mH
Inertia constant 0.012
Table 5 : System Specification
System frequency 50 Hz
Grid Voltage (line) 33 kV
Inverter Voltage (Phase) 300 V
Inter facing Transformer 380/25 kV
Inductive load
Real Power 4700 kW
Reactive Power 1000 KVAR
Grid specification
International Journal of Modern Trends in Engineering and Research (IJMTER) Volume 03, Issue 07, [July– 2016] ISSN (Online):2349–9745; ISSN (Print):2393-8161
@IJMTER-2016, All rights Reserved 186
Short Circuit Level 30mV
Base voltage 25Kv
X/R ratio 10
5.1. Design of solar cell
Fig. 5.1 Power vs. Voltage (P~V) characteristics of cell
Fig.5.2 current vs. Voltage (I~V) characteristics of cell
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10
2
4
6
8Graph of cell voltage vs power
cell voltage (in volts)
cell p
ow
er
(in w
atts)
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1-10
-5
0
5
10Graph of cell Current Vs Voltage
Cell voltage (V)
Cel
l cu
rren
t (A
)
International Journal of Modern Trends in Engineering and Research (IJMTER) Volume 03, Issue 07, [July– 2016] ISSN (Online):2349–9745; ISSN (Print):2393-8161
@IJMTER-2016, All rights Reserved 187
5.2 Solar panel with Mppt by p&o method
5.3 Solar panel with mppt and boost converter
0.115 0.12 0.125 0.13 0.135 0.14 0.145-0.5
0
0.5
1
1.5Graph of Output load voltage Vs time
time(in sec)
Ou
tpu
t lo
ad
vo
ltag
e(i
n v
olt
s)
International Journal of Modern Trends in Engineering and Research (IJMTER) Volume 03, Issue 07, [July– 2016] ISSN (Online):2349–9745; ISSN (Print):2393-8161
@IJMTER-2016, All rights Reserved 188
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10
2
4
6
8
10Graph of Output load current Vs time
time (micro sec)
Ou
tpu
t lo
ad
cu
rren
t(A
)
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10
20
40
60
80
100Graph of Output load Voltage Vs time
time (micro sec)
Ou
tpu
t lo
ad
Vo
ltag
e(V
)
0 0.1 0.2 0.3 0.4 0.5 0.6 0.70
100
200
300
400
500
600Graph of Output Power Vs time
time (micro sec)
Ou
tp
ut P
ow
er(W
)
International Journal of Modern Trends in Engineering and Research (IJMTER) Volume 03, Issue 07, [July– 2016] ISSN (Online):2349–9745; ISSN (Print):2393-8161
@IJMTER-2016, All rights Reserved 189
VI. WIND MILL MODEL
Fig:5.3 wind speed, electromagnetic torque and current
International Journal of Modern Trends in Engineering and Research (IJMTER) Volume 03, Issue 07, [July– 2016] ISSN (Online):2349–9745; ISSN (Print):2393-8161
@IJMTER-2016, All rights Reserved 190
VII. CONCLUSIONS
PV cell, module and array are simulated and effect of environmental conditions on their
characteristics is studied Wind energy system has been studied and simulated Maximum power point of
operation is tracked for both the systems using P&O algorithm Both the systems are integrated and
the hybrid system can be used for battery charging and discharging
REFERENCES
[1] T. Salmi, M. Bouzguenda, A. Gagtli, “MATLAB/Simulink based modeling of solar photovoltaic ce l,” International
journal of renewable energy research, vol.2, no.2, 2012.
[2] S. Meenakshi, K.Rajambal, S. Elangovan “Inte ligent controller for stand-alone hybrid generation system,” IEEE,
May. 2006.
[3] Nabil A. Ahmed, Masafumi Miyatake, “A stand-alone hybrid generation system combining solar photovoltaic and
wind turbine with simple maximum power point tracking control,” IPEMC 2006, IEEE, 2006.
[4] M. G. Vi lalva, J. R. Gazoli, “Modeling and circuit based simulation of photovoltaic arrays,” Brazilian power
electronics conference (COBEP), 2009.
[5] Marcelo Grade la Vi lalva, Jonas Rafel Gazoli, “Comprehensive approach to modeling and simulation of
photovoltaic arrays,” IEEE transaction on power electronics, vol.24, no.5, May 2009.
[6] Hiren Patel and Vivek Agarwal, “Matlab based modeling to study the effect of partial shading on PV array
characteristics,” IEEE transaction on energy conversion, vol.23, no.1, March 2008.
[7] Mohammed Abdulazeez, Ires Iskender, “Simulation and experimental study of shading effect on series and para
lel connected PV modules,” IEEE transaction on energy conversion, vol.27, no.2, March 2008.
[8] SiyuGuo, Timothly Michael Walsh, “Analyzing partial shading of PV module by circuit modeling,” IEEE 2011.
[9] Zhou Xuesong, Song Daichun, Ma Youjie, Chen Deshu, “The simulation and design for MPPT of PV system
based on Incremental conductance method,” Wase International conference on information engineering, 2010.
[10] Azadeh Safari, Saad Mekhilef, “Simulation and Hardware Implementation of Incremental Conductance MPPT
with Direct Control Method Using Cuk Converter,” IEEE transaction on industrial electronics, vol. 58, no. 4, april 2011.
[11] Mihnea Rosu-Hamzescu, Sergiu Oprea, “Practical guide to implementing Solar panel MPPT algorithm,” Microchip
technology Inc, 2013.[12] M. Gengaraj, J. Jasper Gnanachandran, “Modeling of a standalone photovoltaic system
with charge controller for battery energy storage system,” International Journal of Electrical Engineering, vol.6,
no. 3, 2013.
[12] T. Taftichat, K. Agbossou, “Output power maximization of a permanent magnet synchronous generator based
stand-alone wind turbine system,” IEEE ISIE July 9-6 2006.
[13] Roger Gules, Juliano De pellegrin Pacheco, “Maximum power point tracking system with Parallel connection for PV
stand-alone application,” IEEE transaction on industrial electronics, vol.55, no.7, July 2008.
[14] S. Rahmani, Ab. Hamadi, A. Ndtoungou, “Performance evaluation of a PMSG-basedvariable speed wind generation
system using maximum power point tracking,” IEEE electrical power and energy conference 2012.
[15] Majid Jamil, Ravi Gupta, “A review of power converter topology used with PMSG based wind power generation,”
IEEE, 2012.
[16] Eftichios Koutroulis, Kostas Kalaitzakis, “Design of a maximum power tracking system for wind-energy conversion
application,” IEEE Transaction on industrial electronics, vol. 53, no.2, April 2006.
[17] Zhi ling Liao, Xinbo Ruan, “Control strategy of bi-directional dc-dc converter for a novel stand-alone photovoltaic
power system,” IEEE vehicle power and propulsion conference (VPPC), September 2008.
[18] Mohd. Hasan Ali, “WIND ENERGY SYSTEMS Solutions for Power Quality and Stabilization” 2012.