Research on adaptive control strategy of VSG grid-connected converter based on hybrid GA-PSO optimization
MENG Fanhua
YI Likui
LIU Dongge
FENG Rui
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.
Keywords：virtual synchronous generatorgrid-connected convertergenetic algorithmparticle swarm optimization
Publication Date：2025-07-31
Pages：5( 1-5 )