Control Strategy and Performance Analysis of Electrochemical Energy Storage Station Participating in Power System Frequency Regulation: A Case Study of the Jiangsu Power Grid

Jicheng Fang, Yifei Wang, Zhen Lei and Qingshan Xu
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Jicheng Fang: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Yifei Wang: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Zhen Lei: State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210024, China
Qingshan Xu: School of Electrical Engineering, Southeast University, Nanjing 210096, China

Sustainability, 2022, vol. 14, issue 15, 1-31

Abstract: Electrochemical energy storage stations (EESSs) have been demonstrated as a promising solution to mitigate power imbalances by participating in peak shaving, load frequency control (LFC), etc. This paper mainly analyzes the effectiveness and advantages of control strategies for eight EESSs with a total capacity of 101 MW/202 MWh in the automatic generation control (AGC) in the power system of the Jiangsu power grid. Firstly, an adaptive tracking strategy for electricity quantity that considers the state of charge (SOC) of EESSs is proposed to calculate the baseline power of the EESS participating in AGC. This strategy can simultaneously coordinate different time scale application requirements, such as peak shaving and LFC. Then, an adaptive strategy for regulation requirement allocation among AGC control groups with EESSs that considers different area regulation requirements (ARRs) is proposed to calculate the regulation power of EESS participating in AGC. This strategy can realize the balance transfer of fast and slow regulation capacity, ensure the complementary advantages of various frequency regulation resources and improve the dynamic regulation performance of the control area. Finally, the proposed strategy is validated via a test system to confirm its effectiveness and advantages, as well as via a quantitative analysis on the improvement of the control performance standard (CPS) of the Jiangsu power grid with the participation of EESSs in AGC.

Keywords: electrochemical energy storage; multi-time-scale application scenarios; automatic generation control; area control error; state of charge; control performance standard (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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