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文章摘要
基于双储能的风电功率波动平抑策略研究
Study on strategy for stabilizing wind power fluctuations based on dual energy storage
Received:August 18, 2022  Revised:September 03, 2022
DOI:10.19753/j.issn1001-1390.2025.04.003
中文关键词: 功率波动  双储能  经验模态分解  模糊控制
英文关键词: power fluctuation, dual energy storage, empirical modal decomposition, fuzzy control
基金项目:国家自然科学基金资助项目( 52177098)
Author NameAffiliationE-mail
Jiang Xinke* School of Electrical Engineering, Shanghai University of Electric Power 853374138@qq.com 
LIU Chun School of Electrical Engineering, Shanghai University of Electric Power 392531780@qq.com 
ZHANG Xuesong Electric Power Research Institute of State Grid Zhejiang Electric Power Co., Ltd. ee_zxs@163.com 
WANG Xiangjin Electric Power Research Institute of State Grid Zhejiang Electric Power Co., Ltd. hfwangxj@126.com 
ZHANG Yong School of Electrical Engineering, Shanghai University of Electric Power 964528949@qq.com 
YANG Xingwu School of Electrical Engineering, Shanghai University of Electric Power yangxingwu@shiep.edu.cn 
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中文摘要:
      针对储能在平抑风电功率波动时频繁充放电问题,提出基于双储能的平抑功率波动控制策略。基于经验模态分解获取风电目标并网功率与双储能系统总输出功率参考值,针对双储能平滑过程中充放电能量不平衡问题,定义双储能的双向平滑能力指标,基于模糊控制设计荷电状态优化控制,得到最终输出功率并对双储能进行功率分配,比较不同初始荷电状态下储能的荷电状态优化结果。仿真与实验结果表明,所提控制策略不仅有效平抑了风电功率波动,也减少了储能的充放电切换次数,同时提高了双向平滑能力。
英文摘要:
      Aiming at the problem of frequent charging and discharging when energy storage stabilizes wind power fluctuations, a control strategy for suppressing power fluctuations based on dual energy storage is proposed. Based on empirical mode decomposition (EMD), the reference value of the grid-connected power of wind power and the total output power of the dual energy storage system is obtained, and the bidirectional smoothing ability index of the double energy storage is defined for the imbalance of charging and discharging energy in the smoothing process of double energy storage, and the state of charge optimization control is designed based on fuzzy control, the final output power is obtained and the power distribution of the dual energy storage is obtained, and the state of charge optimization results of energy storage under different initial charge states are compared. Simulation and experimental results show that the proposed control strategy not only effectively smooths out the fluctuation of wind power, but also reduces the number of charging and discharging switching times of energy storage, and improves the bidirectional smoothing ability.
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