中国电力 ›› 2021, Vol. 54 ›› Issue (1): 116-123,174.DOI: 10.11930/j.issn.1004-9649.201907198

• 电网 • 上一篇    下一篇

光储系统参与电网调频及调峰的综合控制策略

丁明, 施建雄, 韩平平, 林子豪, 张宇   

  1. 安徽省新能源利用与节能省级实验室(合肥工业大学),安徽 合肥 230009
  • 收稿日期:2019-07-25 修回日期:2020-01-31 出版日期:2021-01-05 发布日期:2021-01-11
  • 作者简介:丁明(1956—),男,硕士,教授,博士生导师,从事电力系统规划及可靠性、新能源及其利用、柔性输电系统的仿真与控制等研究,E-mail: mingding56@126.com;施建雄(1994—),男,通信作者,硕士研究生,从事光伏与储能联合系统参与电网调频的仿真与控制研究,E-mail: hfut_sjx@126.com;韩平平(1981—),女,博士,副教授,从事可再生能源并网技术研究,E-mail: LH021211@163.com
  • 基金资助:
    国家自然科学基金区域创新发展联合基金资助项目(U19A20106)

An Integrated Control Strategy for Photovoltaic-Energy Storage System Participating in Frequency Regulation and Peak Shaving of Power Grid

DING Ming, SHI Jianxiong, HAN Pingping, LIN Zihao, ZHANG Yu   

  1. Anhui Provincial Laboratory of Renewable Energy Utilization and Energy Saving (Hefei University of Technology), Hefei 230009, China
  • Received:2019-07-25 Revised:2020-01-31 Online:2021-01-05 Published:2021-01-11
  • Supported by:
    This work is supported by the Regional Innovation and Development Joint Fund of National Natural Science Foundation of China under Grant (No.U19A20106)

摘要: 针对新能源发电逐步取代火电导致电网调频能力下降的问题,搭建了一种光储(photovoltaic-energy storage, PV-ES)系统模型,提出利用逆变器空闲容量参与系统调频/调峰的控制策略;设置储能电池禁用区、调频区、调峰充电区、调峰放电区4类荷电状态分区,保证储能电池的调峰和调频2种模式能够协调运行;构造了基于荷电状态(state of charge, SOC)反馈的储能电池的最大出力约束系数来优化其出力,延长储能电池的使用寿命;最后,在MATLAB/Simulink软件中搭建光储系统仿真模型。典型算例仿真和经济性分析表明:在所提控制策略下光储系统能够利用逆变器空余容量参与电网的调频/调峰,该控制策略有实际推广意义。

关键词: 光储系统, 调频模式, 调峰模式, 综合控制策略, 荷电状态分区

Abstract: The increasing replacement of renewable energy for thermal power results in the decline of power grid frequency regulation capability. To solve this problem, a photovoltaic-energy storage (PV-ES) system model is established and a control strategy is proposed, which utilizes the idle capacity of the inverters to participate in peak shaving and frequency regulation. To ensure the two modes of peak shaving and frequency regulation of the energy storage battery operate coordinately, the energy storage battery is set into four types of state of charge (SOC) zones, including disable zone, frequency regulation zone, peak shaving charging zone and peak shaving discharging zone. The maximum output constraint coefficient of the energy storage battery is constructed based on SOC feedback to optimize the output and prolong the service life of the energy storage battery. Finally, a PV-ES system model is established in MATLAB/Simulink software. The simulation results and economic analysis for a typical case show that with the proposed control strategy, the PV-ES system has the ability to participate in peak shaving and frequency regulation of power grid by utilizing the idle capacity of the inverters.

Key words: photovoltaic storage system, frequency regulation mode, peak shaving modes, integrated control strategy, state of charge zone