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基于模糊控制的储能参与一次调频综合控制策略
引用本文:杨永辉,,谢丽蓉,李佳明,包洪印,孙金辉,马 伟,.基于模糊控制的储能参与一次调频综合控制策略[J].陕西电力,2023,0(4):38-45.
作者姓名:杨永辉    谢丽蓉  李佳明  包洪印  孙金辉  马 伟  
作者单位:(1. 可再生能源发电与并网技术教育部工程研究中心(新疆大学),新疆 乌鲁木齐 830047;2. 电力系统及大型发电设备控制和仿真国家重点实验室(清华大学),北京 100084;3. 中船重工海为(新疆)新能源有限公司, 新疆 乌鲁木齐 830002)
摘    要:针对储能调频控制模式间以临界值方式直接切换造成功率跃变及储能荷电状态(SOC)过高过低,储能出力受限问题,提出一种基于模糊控制的储能参与的一次调频综合控制策略。首先,分析储能虚拟下垂、虚拟惯量和虚拟负惯量控制参数对系统频率响应的影响,确定各控制参数调频优势和稳定变化范围;其次,设计含虚拟负惯量控制的模糊控制器,实现控制模式之间的平滑切换和优势互补,加快频率恢复;最后,采用logistics函数设计SOC反馈控制策略和SOC自恢复控制策略,使储能容量得到更好的保持,提高储能的调频能力。仿真实验验证了所提策略的有效性。

关 键 词:模糊控制  一次调频  虚拟负惯量  平滑切换  SOC自恢复控制

Integrated Control Strategy of Energy Storage Participating in Primary Frequency Regulation Based on Fuzzy Control
YANG Yonghui,,XIE Lirong,LI Jiaming,BAO Hongyin,SUN Jinhui,MA Wei,.Integrated Control Strategy of Energy Storage Participating in Primary Frequency Regulation Based on Fuzzy Control[J].Shanxi Electric Power,2023,0(4):38-45.
Authors:YANG Yonghui    XIE Lirong  LI Jiaming  BAO Hongyin  SUN Jinhui  MA Wei  
Affiliation:(1. Engineering Research Center for Renewable Energy Power Generation and Grid Technology of Ministry of Education (Xinjiang University),Urumqi 830047,China ; 2. State Key Laboratory of Power System and Generation Equipment (Tsinghua University),Beijing 100084,China;3. HaiWei(Xinjiang)New Energy Co.,Ltd. of CSIC,Urumqi 830002,China)
Abstract:In order to solve the problems of power jump caused by direct switching between energy storage frequency regulation control modes in critical mode and the limitation of energy storage output caused by too high or too low State of Charge (SOC) of energy storage, an integrated control strategy of energy storage participating in primary frequency regulation based on fuzzy control is proposed. Firstly, the influence of energy storage virtual droop, virtual inertia and virtual negative inertia control parameters on the frequency response of the system is analyzed, and the frequency modulation advantage and stable variation range of each control parameter are determined; Secondly, a fuzzy controller with virtual negative inertia control is designed to realize smooth switching and complementary advantages between control modes and accelerate frequency recovery; Finally, the feedback control strategy of SOC and the self-recovery control strategy of energy storage SOC are designed by using the logistics function, so that the energy storage capacity can be better maintained and the frequency modulation ability of energy storage can be improved. The effectiveness of the proposed strategy is verified by Matlab/Simulink simulation.
Keywords:fuzzy control  primary frequency modulation  virtual negative inertia  smooth switching  SOC self-recovery control
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