Emergency load shedding strategy with warning and delay time based on energy storage

Yu, Pengfei, Xiong, Xiaofu, He, Xiangzhen, Zhu, Jizhong, Liang, Jun ORCID: https://orcid.org/0000-0001-7511-449X and Nan, Dongliang 2025. Emergency load shedding strategy with warning and delay time based on energy storage. Protection and Control of Modern Power Systems 10 (4) , pp. 28-41. 10.23919/PCMP.2024.000090

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Abstract

Considering the escalating usage of renewable energy and rising frequency of extreme meteorological events, the risk of emergency load shedding (ELS) in power grids due to faults is increasing. The existing ELS strategies fail to provide users with advance warnings and blackout preparation time. To address this issue, an innovative strategy called warning and delayed load shedding is proposed in this study. In this approach, when it becomes necessary to shed load for emergency control, users are immediately notified with a power outage warning. Subsequently, energy storage and other regulatory resources are employed to substitute for load shedding, thus postponing the execution of the load shedding command. This delay equips users with the ability and time to respond and prepare. To implement this strategy, the operational principles supported by energy storage and backup power are further discussed. Five performance indexes are utilized to evaluate the delayed load shedding capability. Moreover, the delayed load shedding switch function and energy storage power balance equation are constructed to determine the relationship between energy storage, backup power sources, and load shedding time. Subsequently, two optimized load shedding models supported by energy storage are established, i.e., maximum and flexible delayed models. For comparison, improvements are made to the conventional load shedding model without delay by incorporating energy storage. An IEEE 30-node network with energy storage is used to test the three load shedding models. Accordingly, the evaluation indexes are calculated and compared. The results of the performance indexes and comparative analysis validate the effectiveness of the proposed methods, indicating that by using energy storage, users can be notified with advance power outage warnings and preparation time.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > Engineering
Publisher:	SpringerOpen
ISSN:	2367-2617
Date of First Compliant Deposit:	15 July 2025
Date of Acceptance:	1 April 2024
Last Modified:	15 Jul 2025 11:00
URI:	https://orca.cardiff.ac.uk/id/eprint/179789

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