Capacity and Power Optimization of Energy Storage System in Microgrid with Wind and Solar Power Station

The installation of energy storage system in a microgrid containing a wind and solar power station can smooth the wind and solar power and effectively absorb the wind and solar power generation. Based on this, this paper proposes an optimization method for the installation capacity power allocation of energy storage system in a microgrid containing a wind and solar power station. First, based on the typical daily data of the load curve, wind power output curve and photovoltaic output curve of a certain place, the capacity and power optimization model of the micro-grid energy storage station is established with the goal of minimizing the daily average comprehensive cost of the energy storage station and the daily transmission acquisition cost of the upper grid. Finally, the improved genetic algorithm is used to solve the simulation to verify the effectiveness of the proposed method. The simulation results show that the proposed method can obtain the appropriate capacity and power configuration of the energy storage system under the premise of ensuring the economy, and improve the consumption level of wind and solar energy and the economy of microgrid.