Coordinated intelligent frequency control incorporating battery energy storage system, minimum variable contribution of demand response, and variable load damping coefficient in isolated power systems

Maintaining a generation-demand balance becomes more challenging nowadays due to the limited availability of traditional automatic generation control (AGC) and spinning reserves. In response to this concern, the purpose of the proposed paper is to bridge the gap by introducing battery energy storage...

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Autores principales:	Amer Al-Hinai, Hajer Alyammahi, Hassan Haes Alhelou
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Load frequency control Demand response Frequency-sensitive load Load-damping coefficient Battery energy storage system Particle swarm optimization Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/b5bb3999c9d34eba9caeb46436fa426b
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spelling	oai:doaj.org-article:b5bb3999c9d34eba9caeb46436fa426b2021-11-28T04:33:54ZCoordinated intelligent frequency control incorporating battery energy storage system, minimum variable contribution of demand response, and variable load damping coefficient in isolated power systems2352-484710.1016/j.egyr.2021.07.072https://doaj.org/article/b5bb3999c9d34eba9caeb46436fa426b2021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721005369https://doaj.org/toc/2352-4847Maintaining a generation-demand balance becomes more challenging nowadays due to the limited availability of traditional automatic generation control (AGC) and spinning reserves. In response to this concern, the purpose of the proposed paper is to bridge the gap by introducing battery energy storage system (BESS) control loop in the load frequency control (LFC) system. Furthermore, a minimum variable share of demand response (DR) is utilized as an additional mean to regulate the system frequency. The growing intermittency of controllable loads calls the awareness to incorporate frequency-sensitive loads by considering a variable load-damping coefficient in LFC problem. The presented control scheme demonstrates a stable power operation with the optimal sharing of BESS, dynamic DR, and the supplementary control loop. Moreover, because of the continuous and sudden variations in the demand, adaptive LFC controller is designed using fuzzy logic based on particle swarm optimization (PSO) tuning method. The proposed controller ensures a stable and robust frequency regulation of the system under load fluctuations. In this paper it is revealed that adding the BESS control loop is very effective in enhancing the performance of LFC as it can deliver fast power compensation. The obtained results prove the capability and effectiveness of the proposed method in an isolated power system.Amer Al-HinaiHajer AlyammahiHassan Haes AlhelouElsevierarticleLoad frequency controlDemand responseFrequency-sensitive loadLoad-damping coefficientBattery energy storage systemParticle swarm optimizationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 8030-8041 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Load frequency control Demand response Frequency-sensitive load Load-damping coefficient Battery energy storage system Particle swarm optimization Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Load frequency control Demand response Frequency-sensitive load Load-damping coefficient Battery energy storage system Particle swarm optimization Electrical engineering. Electronics. Nuclear engineering TK1-9971 Amer Al-Hinai Hajer Alyammahi Hassan Haes Alhelou Coordinated intelligent frequency control incorporating battery energy storage system, minimum variable contribution of demand response, and variable load damping coefficient in isolated power systems
description	Maintaining a generation-demand balance becomes more challenging nowadays due to the limited availability of traditional automatic generation control (AGC) and spinning reserves. In response to this concern, the purpose of the proposed paper is to bridge the gap by introducing battery energy storage system (BESS) control loop in the load frequency control (LFC) system. Furthermore, a minimum variable share of demand response (DR) is utilized as an additional mean to regulate the system frequency. The growing intermittency of controllable loads calls the awareness to incorporate frequency-sensitive loads by considering a variable load-damping coefficient in LFC problem. The presented control scheme demonstrates a stable power operation with the optimal sharing of BESS, dynamic DR, and the supplementary control loop. Moreover, because of the continuous and sudden variations in the demand, adaptive LFC controller is designed using fuzzy logic based on particle swarm optimization (PSO) tuning method. The proposed controller ensures a stable and robust frequency regulation of the system under load fluctuations. In this paper it is revealed that adding the BESS control loop is very effective in enhancing the performance of LFC as it can deliver fast power compensation. The obtained results prove the capability and effectiveness of the proposed method in an isolated power system.
format	article
author	Amer Al-Hinai Hajer Alyammahi Hassan Haes Alhelou
author_facet	Amer Al-Hinai Hajer Alyammahi Hassan Haes Alhelou
author_sort	Amer Al-Hinai
title	Coordinated intelligent frequency control incorporating battery energy storage system, minimum variable contribution of demand response, and variable load damping coefficient in isolated power systems
title_short	Coordinated intelligent frequency control incorporating battery energy storage system, minimum variable contribution of demand response, and variable load damping coefficient in isolated power systems
title_full	Coordinated intelligent frequency control incorporating battery energy storage system, minimum variable contribution of demand response, and variable load damping coefficient in isolated power systems
title_fullStr	Coordinated intelligent frequency control incorporating battery energy storage system, minimum variable contribution of demand response, and variable load damping coefficient in isolated power systems
title_full_unstemmed	Coordinated intelligent frequency control incorporating battery energy storage system, minimum variable contribution of demand response, and variable load damping coefficient in isolated power systems
title_sort	coordinated intelligent frequency control incorporating battery energy storage system, minimum variable contribution of demand response, and variable load damping coefficient in isolated power systems
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/b5bb3999c9d34eba9caeb46436fa426b
work_keys_str_mv	AT ameralhinai coordinatedintelligentfrequencycontrolincorporatingbatteryenergystoragesystemminimumvariablecontributionofdemandresponseandvariableloaddampingcoefficientinisolatedpowersystems AT hajeralyammahi coordinatedintelligentfrequencycontrolincorporatingbatteryenergystoragesystemminimumvariablecontributionofdemandresponseandvariableloaddampingcoefficientinisolatedpowersystems AT hassanhaesalhelou coordinatedintelligentfrequencycontrolincorporatingbatteryenergystoragesystemminimumvariablecontributionofdemandresponseandvariableloaddampingcoefficientinisolatedpowersystems
_version_	1718408340440088576

Coordinated intelligent frequency control incorporating battery energy storage system, minimum variable contribution of demand response, and variable load damping coefficient in isolated power systems

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