104 / 2025-04-18 08:46:56
Research on the Design of Control Strategy and Capacity Optimization for the Hybrid Energy Storage System Assisting Thermal Power Frequency Modulation Based on Harris Hawk Optimization Algorithm
Supercapacitor; Hybrid Energy Storage; Control Strategy; Capacity Allocation
全文待审
Baidong Luo / Xi'an University of Technology
Zhao Yuze / Xi'an University of Technology
Tingyang Jiao / Utrecht University
Qiwen Xu / Huaneng Gansu Xigu Power Plant
Pengyue Wu / Xi'an Thermal Power Research
Jinghua Li / Xi'an Thermal Power Research
Yujun Li / Xi'an University of Technology
Youmin Zhang / Concordia University
Chen Wang / Xi'an University of Technology
This paper configures supercapacitors and lithium batteries proportionally to leverage their respective strengths, enhance the frequency - regulation performance of coal - fired units, and ensure optimal economy, which is crucial for frequency - regulation - oriented energy storage projects. Firstly, it proposes a coordinated control strategy for a hybrid energy storage system that balances frequency regulation and battery lifespan, and introduces a two - level capacity optimization model for supercapacitor - based hybrid energy storage. Secondly, an improved Harris Hawks Optimization algorithm is applied to solve the model. Finally, the effectiveness of the proposed model is verified. It can be shown that it improves the overall frequency regulation index of coal - fired units and maximizes net revenue over the lifecycle.

 
重要日期
  • 会议日期

    08月22日

    2025

    08月24日

    2025

  • 04月25日 2025

    初稿截稿日期

主办单位
中国自动化学会技术过程的故障诊断与安全性专业委员会
承办单位
新疆大学
新疆自动化学会
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