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Title: Ultra-Fast Frequency Response of Converter-Dominant Grids Using PMUs: Preprint

Abstract

The incorporation of converter-based power sources can act as a substitute for synchronous machine-based generators in an electric power grid. Because power converters are not intrinsically sensitive to frequency transients, the frequency response of these grids might deteriorate. To lessen large frequency excursions, this paper proposes a method to counteract load-generation imbalances by commanding ultra-fast frequency-responding converter-based assets such as wind and battery energy storage. The set points derive from the amount of the imbalance, which is estimated using phasor measurement units (PMUs). Because the proposed technique depends on communications networks, local converter frequency control using an aggressive frequency droop function is also proposed to mitigate negative impacts by communications failures and/or cyberattacks. The benefits of the technique are demonstrated on a modified version of the IEEE 39-bus test power system, which incorporates optimally located PMUs as well as wind, solar, and battery energy storage assets. The paper showcases that the proposed developments are instrumental to maintaining frequency close to nominal during relatively large load-generation imbalances and cyberattacks.

Authors:
 [1];  [2]
  1. Iowa State University
  2. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
OSTI Identifier:
1592383
Report Number(s):
NREL/CP-5D00-75042
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 18th Wind Integration Workshop, 16-18 October 2019, Dublin, Ireland
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; frequency; converter; electric grid; phasor measurement unit; PMU

Citation Formats

Villegas Pico, Hugo N., and Gevorgian, Vahan. Ultra-Fast Frequency Response of Converter-Dominant Grids Using PMUs: Preprint. United States: N. p., 2020. Web.
Villegas Pico, Hugo N., & Gevorgian, Vahan. Ultra-Fast Frequency Response of Converter-Dominant Grids Using PMUs: Preprint. United States.
Villegas Pico, Hugo N., and Gevorgian, Vahan. Mon . "Ultra-Fast Frequency Response of Converter-Dominant Grids Using PMUs: Preprint". United States. https://www.osti.gov/servlets/purl/1592383.
@article{osti_1592383,
title = {Ultra-Fast Frequency Response of Converter-Dominant Grids Using PMUs: Preprint},
author = {Villegas Pico, Hugo N. and Gevorgian, Vahan},
abstractNote = {The incorporation of converter-based power sources can act as a substitute for synchronous machine-based generators in an electric power grid. Because power converters are not intrinsically sensitive to frequency transients, the frequency response of these grids might deteriorate. To lessen large frequency excursions, this paper proposes a method to counteract load-generation imbalances by commanding ultra-fast frequency-responding converter-based assets such as wind and battery energy storage. The set points derive from the amount of the imbalance, which is estimated using phasor measurement units (PMUs). Because the proposed technique depends on communications networks, local converter frequency control using an aggressive frequency droop function is also proposed to mitigate negative impacts by communications failures and/or cyberattacks. The benefits of the technique are demonstrated on a modified version of the IEEE 39-bus test power system, which incorporates optimally located PMUs as well as wind, solar, and battery energy storage assets. The paper showcases that the proposed developments are instrumental to maintaining frequency close to nominal during relatively large load-generation imbalances and cyberattacks.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {1}
}

Conference:
Other availability
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