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Damping control for a target oscillation mode using battery energy storage

descriptionPublicationkeyboard_double_arrow_right Article , Journal 10 Feb 2018Publisher:Springer Science and Business Media LLCJournal:Journal of Modern Power Systems and Clean Energy, volume 6, pages 833-845 (issn: 2196-5625, eissn: 2196-5420,

Authors: Yongli ZHU; Chengxi LIU; Bin WANG; Kai SUN;

doi: 10.1007/s40565-017-0371-3

Damping control for a target oscillation mode using battery energy storage

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Abstract

Abstract In this paper, a battery energy storage system (BESS) based control method is proposed to improve the damping ratio of a target oscillation mode to a desired level by charging or discharging the installed BESS using local measurements. The expected damping improvement by BESS is derived analytically for both a single-machine-infinite-bus system and a multi-machine system. This BESS-based approach is tested on a four-generator, two-area power system. Effects of the power converter limit, response time delay, power system stabilizers and battery state-of-charge on the control performance are also investigated. Simulation results validate the effectiveness of the proposed approach.

Related Organizations

University of Tennessee at Knoxville
United States
Tennessee State University
United States
Tennessee State University
United States

Keywords

TK1001-1841, Energy storage, Power system oscillation, State of charge (SOC), Damping ratio, Battery, TJ807-830, Renewable energy sources, Battery energy storage system (BESS), Production of electric energy or power. Powerplants. Central stations

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	28
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%