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作 者:Indira Alcaide-Godinez Feifei Bai Tapan Kumar Saha Rizah Memisevic
机构地区:[1]School of Information Technology and Electrical Engineering,the University of Queensland,Brisbane,QLD 4072,Australia [2]School of Information Technology and Electrical Engineering,the University of Queensland(UQ),Brisbane,QLD 4072 [3]School of Engineering and Built Environment,Griffith University,Gold Coast,QLD 4222,Australia [4]EPEC Group,Brisbane,QLD 4014,Australia
出 处:《CSEE Journal of Power and Energy Systems》2023年第3期873-883,共11页中国电机工程学会电力与能源系统学报(英文)
摘 要:Recently,the fast frequency response(FFR)service by large-scale battery energy storage systems(BESSs)has been successfully proved to arrest the frequency excursion during an unexpected power outage.However,adequate frequency response relies on proper evaluation of the contingency reserve of BESSs.The BESS FFR reserve is commonly managed under fixed contracts,ignoring various response characteristics of different BESSs and their coexisting interactions.This paper proposes a new methodology based on dynamic grid response and various BESS response characteristics to optimise the FFR reserves and prevent the frequency from breaching the under-frequency load shedding(UFLS)thresholds.The superiority of the proposed method is demonstrated to manage three large-scale BESSs operating simultaneously in an Australian power grid under high renewable penetration scenarios.Further,the proposed method can identify remaining battery power and energy reserve to be safely utilised for other grid services(e.g.,energy arbitrage).The results can provide valuable insights for integrating FFR into conventional ancillary services and techno-effective management of multiple BESSs.
关 键 词:Fast frequency response(FFR) fast frequency contingency reserve multiple large-scale battery energy storage system(BESS) synthetic inertia requirement under-frequency load shedding(UFLS)
分 类 号:TM91[电气工程—电力电子与电力传动] TP273[自动化与计算机技术—检测技术与自动化装置]
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