Operation Condition and Performance Test Analysis of Distributed Energy Storage Battery

doi:10.11930/j.issn.1004-9649.202104065

Abstract

Abstract: Energy storage system operating conditions and battery performance are the focus of energy storage technology research. Based on actual operating curve of the energy storage battery in the wind farm tracking planned output mode, a method of reconstruction of the energy storage battery operating condition based on the factor analysis method and the cluster analysis method was proposed. This paper deeply studied the state of charge (SOC) of energy storage battery, and proposed an estimation algorithm based on (extended kalman particle filter，EKPF) as the detection method. The analysis results showed that the factor analysis method and cluster analysis method could effectively identify the characteristic parameter vector and construct the operating conditions of the energy storage battery. The proposed EKPF algorithm could also correctly estimate the state of charge of the energy storage battery. The research provided a certain reference for the construction of energy storage battery operating conditions and the performance test of energy storage battery.

Key words: energy storage battery, operating conditions, factor analysis method, cluster analysis method

DU Xuhao, LI Bingyu, MIAO Junjie, GUO Xiaofan. Operation Condition and Performance Test Analysis of Distributed Energy Storage Battery[J]. Electric Power, 2021, 54(9): 119-124.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202104065

https://www.electricpower.com.cn/EN/Y2021/V54/I9/119

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