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计及储能响应特性的混合储能系统容量优化配置

NI Jiahua YANG Lingang CHEN Laijun LIU Hanchen CUI Sen

分布式能源2025，Vol.10Issue(6)：1-12,12.
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分布式能源2025，Vol.10Issue(6)：1-12,12.DOI:10.16513/j.2096-2185.DE.25100307

计及储能响应特性的混合储能系统容量优化配置

Capacity Optimization Configuration of Hybrid Energy Storage System Considering Energy Storage Response Characteristics

NI Jiahua 1YANG Lingang 2CHEN Laijun 3LIU Hanchen 4CUI Sen3

作者信息

  • 1. Department of Electrical Engineering,Tsinghua University,Haidian District,Beijing 100084,China||PowerChina Huadong Engineering Corporation Limited,Hangzhou 311122,Zhejiang Province,China
  • 2. PowerChina Huadong Engineering Corporation Limited,Hangzhou 311122,Zhejiang Province,China
  • 3. Department of Electrical Engineering,Tsinghua University,Haidian District,Beijing 100084,China||State Key Laboratory of Power System Operation and Control,Tsinghua University,Haidian District,Beijing 100084,China
  • 4. Department of Electrical Engineering,Tsinghua University,Haidian District,Beijing 100084,China
  • 折叠

摘要

Abstract

With the continuous increase in the scale of new energy installations and their grid integration,the inherent randomness and volatility of new sources exacerbate grid frequency deviations and increase regulation pressure,posing a serious threat to system stability,security,and economic operation.To address this issue,this paper proposes a capacity optimization configuration strategy for hybrid energy storage systems(HESSs)that accounts for energy storage response characteristics and wind power fluctuation smoothing requirements.The method employs a HESS composed of advanced adiabatic compressed air energy storage(AA-CAES)and electrochemical energy storage.First,the input power of the HESS is decomposed using variational mode decomposition(VMD).To reduce the impact of mode mixing on the accuracy of power decomposition,the parameters of the VMD algorithm are optimized using a differential evolution(DE)algorithm.Next,based on the response speed of AA-CAES,preliminary allocation boundaries are defined.Further,a secondary allocation of the hybrid energy storage power is performed with the goal of minimizing the comprehensive cost of the system.Finally,the proposed method is validated through case simulations.The results show that the proposed method reduces mode mixing during power decomposition,achieves reasonable power allocation among different energy storage systems,leverages the operational characteristics of various energy storage components,smooths wind power fluctuations,optimizes the capacity configuration of the HESS,and enhances the economic efficiency.

关键词

变分模态分解(VMD)/差分进化(DE)算法/先进绝热压缩空气储能(AA-CAES)/混合储能系统(HESS)/容量配置

Key words

variational mode decomposition(VMD)/differential evolution(DE)algorithm/advanced adiabatic compressed air energy storage(AA-CAES)/hybrid energy storage system(HESS)/capacity configuration

分类

能源科技

引用本文复制引用

NI Jiahua,YANG Lingang,CHEN Laijun,LIU Hanchen,CUI Sen..计及储能响应特性的混合储能系统容量优化配置[J].分布式能源,2025,10(6):1-12,12.

基金项目

国家自然科学基金项目(52407115)This work is supported by National Natural Science Foundation of China(52407115) （52407115）

分布式能源

2096-2185

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