Hunan Electric Power ›› 2023, Vol. 43 ›› Issue (4): 40-47.doi: 10.3969/j.issn.1008-0198.2023.04.006

• Researches and Tests • Previous Articles     Next Articles

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

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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