Research on Energy Optimization of Energy Storage System in Reducing Load Variance of Power Station

With the large-scale development of electric vehicles, electric vehicle charging loads will account for an increasing proportion of future electric loads. Optimized management of electric vehicle charging and replacing power stations with energy storage systems can give full play to the advantages of charging and replacing power stations. Randomness, intermittency and volatility are load characteristics of electric vehicle charging and replacing power stations. Large-scale connection of electric vehicles to power stations will have a huge impact on the safe and stable operation of the power grid. This paper mainly studies the energy optimization of the energy storage system to reduce the load variance of the charging and replacing power station, analyzes the structure of the energy storage charging and replacing power station, and the load characteristics of the charging and replacing power station. Taking the variance of the charging and replacing power station as the objective function and the power of the charging and replacing station Balance, state variables, charge and discharge power of energy storage system are constraints. Particle swarm optimization is used to solve the problem. Finally, simulation results show that the energy storage system can improve the load characteristics of the power station and reduce the load variance of the power station.