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Validation and Testing of Advanced Grid Services by Inverter-Coupled Resources Presenter: V. Gevorgian, NREL Team: S. Shah, P. Koralewicz, NREL eGrid-2019, Xiamen, China November 12, 2019

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Page 1: Validation and Testing of Advanced Grid Services by

Validation and Testing of Advanced Grid Services by Inverter-Coupled Resources

Presenter: V. Gevorgian, NRELTeam: S. Shah, P. Koralewicz, NREL

eGrid-2019, Xiamen, ChinaNovember 12, 2019

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Outline

Introduction

Description of advanced testing capabilities

Results from various research projects

Conclusions

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NREL | 3

NREL Mission, Long-Term Strategy, and Vision

NREL advances the science and engineering of energy-efficiency, sustainable transportation, and

renewable power technologies and provides the knowledge to integrate

and optimize energy systems.

Photo by NREL

Photo by NREL

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NREL | 4Source: https://windexchange.energy.gov/maps-data/321

U.S. Wind Power Installed Capacity by State

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NREL | 5

Vision

Wind energy could supply 20% of the U.S. electrical demand by 2030.

U.S. DOE Wind Vision Study scenarios Photo by Dennis Schroeder, NREL

Photo by Dennis Schroeder, NREL

Page 6: Validation and Testing of Advanced Grid Services by

NREL | 6Source: Feldman, D., and R. Margolis. 2019. “Q4 2018?Q1 2019 Solar Industry Update” (NREL/PR-6A20-73992).

New U.S. Electricity Capacity Additions

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• Reducing system inertia, degrading frequency stability with increasing penetration• Issue of degrading voltage stability in weaker grids• New protection at any level in the grid (lack of short-circuit current)• Who will provide grid forming and how? Why can’t we operate all inverters as grid

forming? Do we still need grid following? • New stability issues in inverter-dominated grids—control interactions and resonances• How we control new transmission technologies—high-voltage direct current (HVDC)

lines and multiterminal HVDC connections, FACTS, etc.?• Role of frequency in inverter-dominated grids and in 100% grids:

– Option 1: Everything is inverter-coupled (even hydro and all loads), no synchronizing torque, so frequency stability becomes totally irrelevant.

– Option 2: We still have some synch generation at 100% (hydro, concentrating solar power, etc.), so classic frequency stability still matters.

• Reliability and resilience of decentralized and autonomous grids, medium-voltage/low-voltage direct current grids

• Issue of cybersecurity in inverter-dominated grids.

Main Engineering Challenges for High Variable Renewable Energy Systems

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New Stability Problems: Control Interactions

Governor Controls

Field Control (AVR)

Pitch Control

Q & V Control

DC Bus Control

PLL

Current Control

Sync

hron

ous

Gen

erat

ors

Win

d G

ener

ator

s,

HVDC

AGC

Transmission Network Dynamics

Filters

Torsional Modes

Grid Support Functions

PWMHVDC Controls

• Impedance-based analysis has proven effective for the evaluation of resonance problems and control interactions in wind power plants

Inspired by publication by Dr. Jian Sun, “Power Quality in Renewable Energy Systems: Challenges and Opportunities,” presented at the International Conference

on Power Quality (ICREPQ), Spain, March 2012.

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NREL in-house modeling tools:• REEDS: Regional Energy Deployment System model• RPM: Resource Planning Model tool• REPRA: Renewable Energy Probabilistic Resource Assessment tool • FESTIV: Flexible Energy Scheduling Tool for Integrating Variable Generation• MAFRIT: Multi-Area Frequency Response Integration Tool

Gap with the existing commercial software tools

Lack of valid models

NREL Software Tools for Grid Integration Studies

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NREL Flatirons Campus

Siemens2.3 MW

GE/Alstom3 MW

GE 1.5 MW

Gamesa2 MW

Research turbines2 x 600 kW

PV array1 MW

2.5-MW dynamometer5-MW dynamometer,

7-MVA CGI1-MW/1-MWh BESS

FS PV array

• Total of 12+ MW variable renewable generation currently • 7-MVA controllable grid interface (CGI) • Multimegawatt energy storage test facility• 2.5-MW and 5-MW dynamometers (industrial motor drives)• 13.2-kV medium voltage grid• 1.5 MW of total photovoltaic (PV) capacity.

Photo by NREL

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National Wind Technology Center Controllable Grid Platform

NWTC Wind Turbines

SunEdison1 MW PV Array

Controllable Grid Interface (CGI)for Grid and Fault Simulation

Switchgear Building

XcelSubstation

1 MW / 1 MWh BESS

Controlled grid,CGI Bus

Regular grid,Xcel Bus

(7 MVA continuous / 40 MVA s.c.)

115 kV

13.2 kV tie-line

GE 1.5 MW

Siemens 2.3 MW

Alstom 3 MW

Gamesa 2 MW

DC

AC

DC

DC

DC

DC

AC

13.2 kV 13.2 kV

First Solar430 kW PV array

GE 1.25 MW / 1.25 MWh BESS

Aerial view of the siteAC

AC

AC

AES

Grid forming

Flexible test bed for many black-start schemes

Photo by NREL

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Controllable Grid Interface #1Power rating:• 7 MVA continuous• 39-MVA short-circuit capacity (for 2 s)• 4-wire, 13.2 kV.

Possible test articles: • Types 1, 2, 3 and 4 wind turbines• PV inverters, energy storage systems• Conventional generators• Combinations of technologies.

Voltage control (no load total harmonic distortion <1%):• Balanced and unbalanced voltage fault conditions (zero-voltage ride-through

(ZVRT) and 140% high-voltage ride-through (HVRT)—independent voltage control for each phase on 13.2-kV terminals

• Response time—1 millisecond (from full voltage to zero, or from zero back to full voltage)

• Long-term symmetrical voltage variations (+/- 10%) and voltage magnitude modulations (0–10 Hz)—subsynchronous resonance conditions

• Programmable impedance (strong and weak grids) • Programmable distortions (lower harmonics 3, 5, 7)• Impedance characterization of inverter-coupled generation.

Frequency control:• Fast output frequency control (3 Hz/s) within 45–65-Hz range• 50/60-Hz operation• Can simulate frequency conditions for any type of power system • Power-hardware-in-the-loop (PHIL) capable (coupled with RTDS, Opal-RT, etc.)• Test bed for phasor measurement unit- (PMU) based wide-area stability controls.

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Hybrid Systems Test and Control Validation Platform

Real-Time RODeO tool (Revenue, Operation, and Device Optimization model)—5-min time step

Optimized dispatch

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• Transfer function from active power to frequency at point of interconnection

Power-Domain Impedance

Photo by NREL

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Power System Frequency Response Characterization in Real Time

Loss of generation

Applications:– Real-time estimation of

inertia, primary frequency response, nadir, etc.

– Frequency support design by renewable generation.

20% droop 10%

droop

5% droop

5% droop

10% droop

20% droop

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• An alternative method to achieving faster compensation to load-generation imbalances that resorts to detecting the amount of a disturbance that triggers a frequency transient

• We propose q control strategy to deploy ultrafast frequency response converter-based assets. The objective is to prevent relatively large frequency transients by counteracting the impact of sudden imbalances on an electric grid.

• Ultrafast frequency response: tens of milliseconds.

Inertia FFR Droop AGC

Response-1

What Is Fast Frequency Response?

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Active Power Response of Type 3 Wind Turbine Generator

• This test was conducted with commercial wind power plant controller.• All plant-level and turbine-level control delays are real.

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BESS active and reactive power in grid-forming mode

Battery energy storage system (BESS) active and reactive power in grid-following mode

1-MW/1-MWh BESS at NREL test site

Ability of Battery Energy Storage System to Provide Fast Frequency Response

Photo by NREL

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Frequency Response of an Island System

10

9

10

9

8

8

7

56

7

6

5

4

4

3

32

2

1

1

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Phasor Measurement Unit-Based Wide-Area Stability Control Concept

FFR,

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Ability of DFIG WTG to Provide Simultaneous Modulation of P and Q

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Testing of 1.5-MW Type 3 WTG for Power System Oscillations Damping Services

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Measured P-Q capability of 1-MW/1-MWh Li-ion BESS

Comparison of reactive power capabilities

Reactive Power Capabilities of Inverter-Coupled Resources

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Impedance-Based Stability Analysis

• Transmission system operators have started demanding impedance response of wind turbines for the evaluation of resonance and control interaction problems.

• Impedance-based specifications are being developed for wind turbines to reduce the risks of resonance problems.

Grid( )gZ s

Loop gain:Zg(s)/Zp(s), Zg(s)/Zn(s)

( )( )

p

n

Z sZ s Photo by NREL

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Impedance Measurement Test Bed at NREL

• 7-MVA grid simulator for injection of voltage perturbations

• Turbine nacelle coupled to a dynamometer

• GPS-synchronized medium-voltage measurements.

7-MVA grid simulator5-MW dynamometer Medium-voltage measurements

Photos by NREL

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Blue: Measurements of 4-MW DFIGRed: PSCAD model from OEM

Mag

nitu

de (d

BW)

Phas

e (D

EG.)

Applications of Impedance Measurement

• Model validation • Resonance analysis • Grid-forming inverters

Solve resonance problems, control design, grid codes

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• BESS inverter

• Impedance measurements can quantify different aspects of grid-forming ability.

Forming

Following

Forming

Following

Grid-Forming Inverter from Outside

Photo by NREL

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Resonance Measured in Photovoltaic Plant

17 17.05 17.1 17.15 17.2 17.25 17.3 17.35 17.4 17.45 17.5

-2

-1

0

1

2

u ph

-ph

[V]

10 4 2019_09_25_17_00_48_PQ_F18_FS_ImpStep_100mH_to_200mH

17 17.05 17.1 17.15 17.2 17.25 17.3 17.35 17.4 17.45 17.5

-10

-5

0

5

10

i [A]

17 17.05 17.1 17.15 17.2 17.25 17.3 17.35 17.4 17.45 17.5

-0.15

-0.1

-0.05

0

0.05

pq [M

W, M

VAr]

P

Q

17.44 17.445 17.45 17.455 17.46 17.465 17.47 17.475

-2

-1

0

1

2

u ph

-ph

[V]

10 4 2019_09_25_17_00_48_PQ_F18_FS_ImpStep_100mH_to_200mH

17.44 17.445 17.45 17.455 17.46 17.465 17.47 17.475

-5

0

5

i [A]

17.44 17.445 17.45 17.455 17.46 17.465 17.47 17.475

-0.15

-0.1

-0.05

0

0.05

pq [M

W, M

VAr]

P

Q

X: 17.46Y: 7.037

X: 17.48Y: 1.164

Oscillations frequency:fo = 476Hz

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New Black-Start Paradigm

The black-start process can be divided into three stages:• Preparation stage• Network reconfiguring• Load restoration. A typical restoration plan for the bulk power system includes the following essential steps:• System status identification: blackout boundaries and location in

respect to critical loads, status of circuit breakers, capacity of available black-start units, etc.

• Starting at least one black-start unit to supply critical loads, such as nuclear or large thermal power plants

• Progressive restoration: step-by-step supply of other loads, avoiding over- and undervoltage conditions.

The restoration strategies:• Serial: simpler strategy, slower but more stable• Parallel: quicker but more complex.

Conventional top down approach

Conventional centralized black-start units to start the network

Passive loads, waiting to be energized

Changing black-start paradigm

Microgrids

Bottom-up approach

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Stability Controls Demonstration Platform at NREL’s Flatirons Campus

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Summary of CGI#2 SpecificationsPower rating:• Continuous AC rating: 19.9 MVA at 13.2kV and 34.5 KV• Overcurrent capability (x5.7 for 3 s, x7.3 for 0.5 s)• 4-wire 13.2-kV or 35.4-kV taps• Continuous operational AC voltage range: 0–40 kVAC• Continuous DC rating: 10 MW at 5 kVDC.

Possible test articles: • Types 1, 2, 3 and 4 wind turbines• PV inverters, energy storage systems• Conventional generators• Combinations of technologies/hybrid systems• Responsive loads.

Voltage control (no load total harmonic distortion <1%):• Balanced and unbalanced voltage fault conditions (ZVRT, LVRT, and 140% HVRT)—

independent voltage control for each phase on 13.2-kV and 34.5-kV terminals• Response time: less than 1 millisecond (from full voltage to zero, or from zero back

to full voltage) • Programmable injection of positive, negative, and zero-sequence components• Long-term symmetrical voltage variations (+/- 10%) and voltage magnitude

modulations (0–10 Hz)—subsynchronous resonance conditions• Programmable impedance (strong and weak grids, wide SCR range corresponding

to a point of interconnection with up to 250 MVA of short-circuit apparent power) • Injection of controlled voltage distortions • Wide-spectrum (0–2-kHz) impedance characterization of inverter-coupled

generation and loads• All-quadrant reactive power capability characterization of any system.

Frequency control:• Fast output frequency control (3 Hz/s) within 45–65-Hz range• 50/60-Hz operation• Can simulate frequency conditions for any type of power system • PHIL capable (can be coupled with RTDS, Opal-RT, Typhoon, etc.)• Coupled with PMU-based wide-area stability controls validation platform.

New features: • 5-kV MVDC grid simulator (PHIL capable)• Voltage or current source operation• Seamless transition between voltage and current source modes• Emulation of full set of resiliency services:

• Black start• Power system restoration schemes• Microgrids.

• Flexible configurations are possible when combined with CGI#1:• Two independent experiments• Parallel operation• Back-to-back operation• Emulation of isolated, partially, or fully grid-connected microgrids.

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Optimized Hybrid Energy Storage Systems• Validation of design optimization

tools and operational strategies for hybrid energy storage systems for provision of grid services at various timescales (ms-s-min-hr-day)

• Development and validation of optimized control theory for hybrid energy storage to provide essential reliability and resilience services to the grid:

• Optimal ratios between device-level, plant-level, and system-level controls.

• Design and operation of hybrid renewable-storage plants for improved dispatchability, increased capacity factors, and enhanced grid services

• Optimized storage technology mixes for microgrids and islanded systems.

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Summary of NREL Research Portfolio

• Many research projects funded by the U.S. Department of Energy Wind Energy Technologies Office, Water Power Technologies Office, Solar Energy Technologies Office, and Office of Electricity

• Many collaborative projects with industry (inverter-based technologies vendors, utilities, system operators, academia)

• Research at the scale that matters• Solving integration challenges at any timescale• Development, demonstration, and validation of new controls and new

testing methods and protocols • Development of validated models at any timescale• Providing information to standardization groups and regulatory bodies• Stakeholder engagement• Education of future workforce.

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www.nrel.gov

Thank you!谢谢 !

[email protected]

This work was authored by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding provided by U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Wind and Solar Energy Technologies Offices. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes.

NREL/PR-5D00-75479