智能城市2025，Vol.11Issue(7)：1-5,5.DOI:10.19301/j.cnki.zncs.2025.07.001
基于GA-PSO协同优化的VSG构网型变流器自适应控制策略研究
Research on adaptive control strategy of VSG grid-connected converter based on hybrid GA-PSO optimization
摘要
Abstract
Aiming at the problem of grid stability caused by low inertia and weak damping of power electronic converters in new energy grid-connected systems,this paper proposes a virtual synchronous generator(VSG)grid-connected converter control strategy based on genetic algorithm(GA)and particle swarm optimization(PSO).By combining the global search ability of GA and the dynamic optimization characteristics of PSO,a multi-objective optimization function is constructed to dynamically adjust the parameters of rotational inertia(J)and damping coefficient(D),and a dual-index threshold trigger logic is designed to activate the optimizer only when the grid frequency deviation or power mutation occurs,so as to balance the control accuracy and computational efficiency.The simulation results show that the proposed strategy significantly improves the transient stability and dynamic response speed of the system through the collaborative optimization of J and D,and provides an efficient and reliable network construction solution for the high proportion of new energy power system.At the same time,it can reduce the energy storage configuration requirements and improve the renewable energy consumption capacity.关键词
虚拟同步发电机/构网型变流器/遗传算法/粒子群优化Key words
virtual synchronous generator/grid-connected converter/genetic algorithm/particle swarm optimization分类
信息技术与安全科学引用本文复制引用
孟繁华,衣丽葵,刘东格,冯瑞..基于GA-PSO协同优化的VSG构网型变流器自适应控制策略研究[J].智能城市,2025,11(7):1-5,5.基金项目
辽宁省教育厅基本科研项目(LJ242411632023) （LJ242411632023）
