Multi-objective Optimal Configuration Scheme of Energy Storage in Wind-Photovoltaic-Energy Storage Hybrid Distribution Network System

Energy storage system (ESS) can solve the problems of nodal voltage fluctuation and increase power loss in distribution network caused by high penetration of renewable energy. This paper takes the nodal voltage fluctuation and comprehensive multi-cost of ESS as the composite optimization objective, and combines multiple constraints to establish an energy storage configuration optimization model of the wind-solar-energy storage hybrid distribution network. Based on the optimization model, an improved multi-objective particle swarm optimizer (IMOPSO) is introduced to solve the problem. IMOPSO avoids the particle swarm from falling into the local optimal solution while considering the convergence speed and accuracy. Finally, through analysis of the IEEE-33 node distribution network system, the rationality of the proposed ESS configuration optimization model and the IMOPSO are verified, which can effectively reduce the nodal voltage fluctuation and power loss of the distribution network, and improve the system economy at the same time.