分布式储能电池运行工况及性能检测分析

doi:10.11930/j.issn.1004-9649.202104065

中国电力 ›› 2021, Vol. 54 ›› Issue (9): 119-124.DOI: 10.11930/j.issn.1004-9649.202104065

分布式储能电池运行工况及性能检测分析

杜旭浩¹, 李秉宇¹, 苗俊杰², 郭小凡¹

1. 国网河北省电力有限公司电力科学研究院，河北石家庄 050021;
2. 国网河北省电力有限公司，河北石家庄 050021

收稿日期:2021-04-29 修回日期:2021-07-23 发布日期:2021-09-14
作者简介:杜旭浩(1986-),男,通信作者,硕士,高级工程师,从事交直流电源与储能技术研究,E-mail:duxuhao97@163.com;李秉宇(1981-),男,硕士,高级工程师(教授级),从事交直流电源与储能技术研究;苗俊杰(1979-),男,硕士,高级工程师(教授级),从事变电运检技术研究;郭小凡(1992-),女,硕士,助理工程师,从事电测技术研究
基金资助:
国家电网有限公司科技项目(5204DY180012)

Operation Condition and Performance Test Analysis of Distributed Energy Storage Battery

DU Xuhao¹, LI Bingyu¹, MIAO Junjie², GUO Xiaofan¹

1. State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China;
2. State Grid Hebei Electric Power Company, Shijiazhuang 050021, China

Received:2021-04-29 Revised:2021-07-23 Published:2021-09-14
Supported by:
This work is supported by Science and Technology Project of SGCC (No.5204DY180012)

摘要/Abstract

摘要： 储能系统运行工况及电池性能是储能技术研究的重点。基于风电场跟踪计划出力模式下储能电池的实际运行曲线，提出一种基于因子分析法和聚类分析法的储能电池工况重构方法。深入研究储能电池的荷电状态（state of charge，SOC），提出将扩展卡尔曼粒子滤波（extended kalman particle filter，EKPF）算法用于电池性能检测。实验结果表明：采用因子分析法和聚类分析法可有效辨识出特征参数向量并构建储能电池工况，提出的EKPF算法能正确估算储能电池SOC，为储能电池运行工况的构建和储能电池的性能测试提供参考依据。

关键词: 储能电池, 运行工况, 因子分析法, 聚类分析法

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

杜旭浩, 李秉宇, 苗俊杰, 郭小凡. 分布式储能电池运行工况及性能检测分析[J]. 中国电力, 2021, 54(9): 119-124.

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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分布式储能电池运行工况及性能检测分析

Operation Condition and Performance Test Analysis of Distributed Energy Storage Battery

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