On BESS Capacity Optimization of Hybrid Coal-Fired Generator and BESS Power Station for Secondary Frequency Regulation

Xinsong Zhang, Ziyun Ma, Beiping Gu, Lurui Fang, Xiuyong Yu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Integrating battery energy storage systems (BESS) into a coal-fired generator can enhance power systems’ secondary frequency regulation capability. To this end, this paper proposes a policy to coordinate the BESS and the coal-fired generator to meet the automatic generation control (AGC) requirements and subsequently investigates the optimal BESS capacity to maximize the net profit gained from the frequency regulation. Firstly, probability characteristics of AGC instruction duration period, interval period, regulation rate, and regulation direction are investigated according to the real AGC datalog. The AGC regulation direction would change randomly. Directly switching the BESS between charging and discharging to match the requirement would significantly deplete the lifetime of the battery. Therefore, this paper divides the BESS into two groups, which will be controlled stay in charging and discharging states to respectively respond to the AGC requirement of “up” and “down”. To obtain a cost-effective BESS investment, this paper develops a new sizing method, which optimizes the BESS capacity by simulating the operation of the hybrid coal-fired generator and BESS power station (HCGBPS) over an example day. Finally, the case studies justified the developed sizing method could make satisfying BESS investment decisions to ensure a maximum net profit in operation.

Original languageEnglish
Pages (from-to)60833-60845
Number of pages13
JournalIEEE Access
Volume13
DOIs
Publication statusPublished - 2025

Keywords

  • automatic generation control
  • Battery energy storage system
  • capacity optimization
  • secondary frequency regulation
  • sequential Monte Carlo simulation

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