丁佳欣, 罗日忠, 何毅, 楼波, 陈世桐, 周波, 郑国. 基于电池储能系统寿命的SOC反馈的自适应电厂调频策略[J]. 动力工程学报, 2025, 45(3): 391-398,419. DOI: 10.19805/j.cnki.jcspe.2025.230766
引用本文: 丁佳欣, 罗日忠, 何毅, 楼波, 陈世桐, 周波, 郑国. 基于电池储能系统寿命的SOC反馈的自适应电厂调频策略[J]. 动力工程学报, 2025, 45(3): 391-398,419. DOI: 10.19805/j.cnki.jcspe.2025.230766
DING Jiaxin, LUO Rizhong, HE Yi, LOU Bo, CHEN Shitong, ZHOU Bo, ZHENG Guo. Adaptive Frequency Modulation Strategy of Power Plant Based on SOC Feedback of Battery Energy Storage System Life[J]. Journal of Chinese Society of Power Engineering, 2025, 45(3): 391-398,419. DOI: 10.19805/j.cnki.jcspe.2025.230766
Citation: DING Jiaxin, LUO Rizhong, HE Yi, LOU Bo, CHEN Shitong, ZHOU Bo, ZHENG Guo. Adaptive Frequency Modulation Strategy of Power Plant Based on SOC Feedback of Battery Energy Storage System Life[J]. Journal of Chinese Society of Power Engineering, 2025, 45(3): 391-398,419. DOI: 10.19805/j.cnki.jcspe.2025.230766

基于电池储能系统寿命的SOC反馈的自适应电厂调频策略

Adaptive Frequency Modulation Strategy of Power Plant Based on SOC Feedback of Battery Energy Storage System Life

  • 摘要: 电池储能系统凭借功率输出精确、响应速度快、双向调节等优势,广泛应用于电力系统的调频调峰,但其使用寿命仍是储能系统的核心问题。采用基于电池荷电状态(SOC)反馈的自适应综合调频策略,由模糊控制器调节输入系数和储能电池荷电状态调节反馈系数共同确定自适应因子,输入系数由虚拟惯性控制和虚拟下垂控制的调频出力占比系数K决定。通过Matlab/Simulink平台搭建仿真模型并采用某电厂调频电池的实际运行数据进行了不同控制策略的研究,并利用雨流计数法预测储能电池的使用寿命。结果表明:自适应综合调频策略比目前电厂所用策略下电池的寿命提高25.53%,较定K法和变K法的使用寿命分别提高了38.19%和22.42%。

     

    Abstract: Battery energy storage systems are widely used in frequency and peak regulation of power systems due to their advantages of accurate power output, fast response speed, and two-way regulation, but their service life is still the core restriction of energy storage systems. The adaptive comprehensive frequency modulation strategy based on battery state-of-charge (SOC) feedback was adopted. The adaptive factor was determined by the input coefficient of the fuzzy controller adjustment and the feedback coefficient of energy storage battery SOC adjustment, and the input coefficient was determined by the frequency modulation output proportion coefficient (K) of virtual inertial control and virtual droop control. The simulation model was developed with the Matlab/Simulink platform, and the actual operation data of the frequency modulation battery of a power plant was used to study different control strategies. The rain-flow counting method was used to predict the service life of energy storage batteries. Results show that the battery life with the adaptive integrated frequency modulation strategy is 25.53% higher than that with the current strategy used in power plants, and the service life is increased by 38.19% and 22.42% compared with the fixed K method and variable K method, respectively.

     

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