Research on Allocation of Energy Storage System in Microgrid Based on Improved Particle Swarm Optimization Algorithm

Under the “double carbon” policy and the development of distributed energies, microgrids using photovoltaic-battery energy storage systems have encountered rapid development. The photovoltaic battery system not only improves the hosting capacity of renewable energy and local consumption rate but also ensures stable power supply through the electricity market by charging and discharging the battery storage system in the distribution network. In this paper, a target model, which considers the constraints of grid voltage, power balance, environmental benefit, operating cost of energy storage configuration, and line loss, is established. An improved particle swarm optimization algorithm is proposed to optimize this target model. Through the proposed algorithm, the configuration scheme of the energy storage system, the scheduling scheme, and the operation cost of the energy storage system on typical days in different seasons are obtained. The simulation results have shown that the proposed algorithm can solve the problem of microgrid location and energy storage system configuration, can reduce the line loss while taking into account economic benefits, can promote the consumption of renewable energy, and can give the scheduling model of different seasons.