上海交通大学学报

上海交通大学学报 >

2025 , Vol. 59 >Issue 10: 1498 - 1509

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.572

新型电力系统与综合能源

基于变分模态分解-多模糊控制的风电混储系统功率分配策略

  • 李建林 ,
  • 孙浩元 ,
  • 赵文鼎 ,
  • 梁策 ,
  • 梁忠豪 ,
  • 袁晓冬
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  • 1 北方工业大学 国家能源用户侧储能创新研发中心, 北京 100144
    2 国网江苏省电力有限公司电力科学研究院, 南京 211103
李建林( 1976—),教授,博士生导师,从事大规模储能技术研究.
孙浩元,硕士生;E-mai: 1366604911@qq.com.

收稿日期: 2023-11-10

  修回日期: 2023-12-10

  录用日期: 2023-12-26

  网络出版日期: 2024-02-27

基金资助

国家电网公司指南项目(5400-202318247A-1-1-ZN)

收起

Power Allocation Strategy for Wind Power Hybrid Storage Systems Based on Variational Modal Decomposition-Multifuzzy Control

  • LI Jianlin ,
  • SUN Haoyuan ,
  • ZHAO Wending ,
  • LIANG Ce ,
  • LIANG Zhonghao ,
  • YUAN Xiaodong
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  • 1 National User-Side Energy Storage Innovation Research and Development Center, North ChinaUniversity of Technology, Beijing 100144, China
    2 Electric Power Research Institute ofState Grid Jiangsu Electric Power Co., Ltd., Nanjing 211103, China

Received date: 2023-11-10

  Revised date: 2023-12-10

  Accepted date: 2023-12-26

  Online published: 2024-02-27

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摘要

针对风电出力的不确定性导致并网电能质量下降以及混合储能系统功率分配不佳的问题,提出一种基于变分模态分解与多模糊控制的风电混储系统功率分配策略.首先,考虑风电出力的不确定性,采用拉丁超立方抽样和欧氏距离法生成风电典型场景;其次,利用正余弦算法优化变分模态分解,对风电功率进行初次分配,得到低于并网波动上限的风电并网功率和混合储能系统平抑功率;最后,对混合储能系统的荷电状态进行分区划分,结合系统荷电状态与混合储能特性,提出一种多模糊控制下的功率再分配策略,以实现对混合储能系统功率的修正.仿真结果表明:所提策略不仅能够有效平抑风电波动、获得稳定的并网功率,还可缓解混合储能系统的过充和过放问题.

关键词： 功率分配; 混合储能系统; 拉丁超立方抽样; 变分模态分解; 多模糊控制策略

本文引用格式

李建林 , 孙浩元 , 赵文鼎 , 梁策 , 梁忠豪 , 袁晓冬 . 基于变分模态分解-多模糊控制的风电混储系统功率分配策略[J]. 上海交通大学学报, 2025 , 59(10) : 1498 -1509 . DOI: 10.16183/j.cnki.jsjtu.2023.572

Abstract

A power allocation strategy based on variational modal decomposition-multifuzzy control for wind power hybrid storage system is proposed to address the poor grid-connected power quality caused by the uncertainty of wind power output and the poor power allocation of hybrid storage systems. First, Latin hypercubic sampling and Euclidean distance method are used to generate a typical scenario of wind power considering the uncertainty of wind power output. Then, the variational modal decomposition optimized by the positive cosine algorithm is used for the initial allocation of wind power to obtain the grid-connected power of wind power which is lower than the upper limit of the grid-connected fluctuation and the levelling power of the hybrid energy storage system. Finally, the load state of the hybrid energy storage system is partitioned, and a power redistribution strategy under multi-fuzzy control is proposed to achieve the correction of the power of the hybrid energy storage system by considering the system load state and the characteristics of the hybrid energy storage. Simulation results show that the proposed strategy can suppress wind power fluctuations and obtain stable grid-connected power. Additionly, it can effectively solve the overcharging and over-discharging problems of the hybrid energy storage system.

Key words： power allocation; hybrid energy storage systems; Latin hypercubic sampling; variational modal decomposition; multi-fuzzy control strategies

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