Energy management optimization strategy for multiport AC/DC microgrid system based on improved particle swarm optimization

With a view to promoting the consumption of new energy generation, strengthen economic performance and environmental conservation in the energy supply sector, and promote the green and low-carbon development, this paper proposes a multi-port AC/DC microgrid energy management strategy that can effectively distinguish the operating state on the basis of power balance. In order to take into account the economy and efficiency of the system operation, an optimization mathematical model of the multi-port AC/DC microgrid system is established, and an improved particle swarm optimization (IPSO) is proposed to solve the mathematical model, which obtains the optimal solution of the multi-objective problem. And the validity and correctness of the optimal scheduling model are verified through example analysis. The results show that the energy management optimization strategy for multiport AC/DC microgrid proposed in this paper has significant advantages in improving energy utilization efficiency, reducing energy cost and enhancing microgrid stability, while the improved particle swarm optimization has good optimality finding characteristics and convergence.