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典型调峰/调频工况下储能电池组荷电状态估计

朱沐雨 马宏忠 郭鹏宇 宣文婧

中国电力2024,Vol.57Issue(6):18-26,9.
中国电力2024,Vol.57Issue(6):18-26,9.DOI:10.11930/j.issn.1004-9649.202401003

典型调峰/调频工况下储能电池组荷电状态估计

State of Charge Estimation of Energy Storage Battery Pack under Typical Peak/Frequency Modulation Conditions

朱沐雨 1马宏忠 1郭鹏宇 2宣文婧1

作者信息

  • 1. 河海大学电气与动力工程学院,江苏南京 211100
  • 2. 国网江苏省电力有限公司,江苏南京 210024
  • 折叠

摘要

Abstract

To address the issue of low estimation accuracy of the state of charge(SOC)for an energy storage battery pack under typical energy storage conditions of a power grid,this paper proposes a new SOC estimation model based on kernel principal component analysis(KPCA),pelican optimization algorithm(POA),and bidirectional gated recurrent unit(BiGRU).By designing the charge and discharge experiment of a battery pack under the condition of peak/frequency modulation,the paper extracts the fusion features of SOC change from the data as the model input.BiGRU networks are constructed under different working conditions,and POA is utilized to optimize its hyperparameters to improve the model's performance.The effectiveness of the model is further verified under mixed conditions.The results show that the proposed model has better SOC estimation performance and stronger robustness,which can improve the SOC estimation accuracy of energy storage battery packs under complex energy storage conditions.

关键词

储能电池组/荷电状态估计/调峰调频/鹈鹕优化/双向门控循环单元

Key words

energy storage battery pack/state of charge estimation/peak and frequency modulation/pelican optimization/bidirectional gated recurrent unit

引用本文复制引用

朱沐雨,马宏忠,郭鹏宇,宣文婧..典型调峰/调频工况下储能电池组荷电状态估计[J].中国电力,2024,57(6):18-26,9.

基金项目

国家自然科学基金资助项目(双馈异步发电机内部故障的振动(声学)机理分析与机电(声)融合诊断研究,51577050) (双馈异步发电机内部故障的振动(声学)

国网江苏省电力有限公司科技项目(不同网储互动模式下储能电池安全性能研究,J2022158). This work is supported by National Natural Science Foundation of China(Vibration(Acoustic)Mechanism Analysis and Electromechanical(Acoustic)Fusion Diagnosis of Internal Faults in Doubly-Fed Induction Generator,No.51577050)and Science&Technology Project of State Grid Jiangsu Electric Power Co.,Ltd.(Research on Safety Performance of Energy Storage Battery Under Different Network Storage Interaction Modes,No.J2022158). (不同网储互动模式下储能电池安全性能研究,J2022158)

中国电力

OA北大核心CSTPCD

1004-9649

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