Research on Optimal Scheduling of Energy Storage System Based on Particle Swarm Optimization

In the power system, the power load of users will show a large gap between peak and valley, which may leads to the imbalance between supply and demand of power system. In this paper, the particle swarm optimization (PSO) algorithm is used to optimize the battery energy storage system to reduce the impact of peak load on the power grid, and help the power grid to smooth the power load fluctuation, and reduce the cost of the users.