湖南电力 ›› 2023, Vol. 43 ›› Issue (4): 40-47.doi: 10.3969/j.issn.1008-0198.2023.04.006

• 研究与试验 • 上一篇    下一篇

基于狼群算法的虚拟同步发电机并网逆变器不平衡电网下多目标优化控制研究

朱红萍, 朱泓知, 钱万明, 郭利文, 韩迎龙   

  1. 湖南科技大学信息与电气工程学院,湖南 湘潭 411100
  • 收稿日期:2023-05-16 修回日期:2023-06-12 出版日期:2023-08-25 发布日期:2023-09-07
  • 通信作者: 朱红萍(1970,)女,教授,通信作者,研究方向为电能质量分析控制、电力系统自动化研究、智能控制等。
  • 作者简介:朱泓知(1998),男,硕士研究生,研究方向为并网逆变器控制。
  • 基金资助:
    国家自然科学基金项目(61973109)

Research on Multi-Objective Optimal Control of Virual Synchronous Generator Inverter in Unbalanced Power Grid Based on Wolf Pack Algorithm

ZHU Hongping, ZHU Hongzhi, QIAN Wanming, GUO Liwen, HAN Yinglong   

  1. College of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411100, China
  • Received:2023-05-16 Revised:2023-06-12 Online:2023-08-25 Published:2023-09-07

摘要: 针对电网电压不平衡情况下虚拟同步发电机(VSG)并网逆变器并网输出电流不平衡、有功功率及无功功率波动的问题,提出一种基于狼群算法的VSG并网逆变器多目标优化控制方法。针对电流平衡、抑制有功、无功波动间的矛盾,设计多目标优化控制,引入调节系数和不平衡度,建立负序参考电流统一表达式及多目标优化函数,并通过狼群算法对多目标函数寻优,实现三个控制之间的协调控制,提高了VSG逆变器输出电能质量。最后,对所提出控制方法进行仿真分析,验证其可行性和有效性。

关键词: 虚拟同步发电机, 不平衡电网电压, 多目标优化, 狼群算法

Abstract: This paper presents a multi-objective coordinated optimal control of virtual synchronous generator(VSG)inverter based on wolf swarn algorithm to address the issues of unbalanced grid connected output current and fluctuations in active and reactive power when the grid voltage is unbalanced.For the current balance, suppression of active and reactive power fluctuations between the contradictions,a multi-objective optimization control is designed, introducing adjustment coefficients and imbalance, and establishing a unified expression for negative sequence reference current and a multi-objective optimization function. And through the wolf swarm algorithm, the multi-objective function is optimized to achieve coordinated control among the three controls, improving the output power quality of the VSG inverter. Finally, the proposed control method is simulated to verify its feasibility and effectiveness.

Key words: virtual synchronous generator, unbalanced grid voltage, multi-objective optimization, wolf swarm algorithm

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