Capacity Optimization Configuration of Wind Farm Energy Storage System Based on Life Cycle Economic Analysis

Wind farms have large fluctuations in grid connection, imbalance between supply and demand, etc. In order to solve the above problems, this paper studies the capacity optimization configuration of wind farm energy storage system based on full life cycle economic analysis. Firstly, the optimization model of energy storage capacity is established in this paper for computing wind farms require minimal storage capacity for load shifting, reducing peak and valley fluctuation; considering the loss cost of wind discarded, the fixed costs of energy storage device and equipment maintenance, the cost of the battery is analyzed in the whole life cycle by the point of view of economics; multi-objective optimization of the minimized ratio of peak-valley fluctuations around peak load shifting volatility and maximized economic benefits, by the global particle swarm algorithm for getting the optimal solution, the system capacity optimization control scheme is proposed. By analyzing the actual data, it is proved that the rational capacity allocation of the energy storage system can effectively reduce the ratio of peak-valley fluctuations around peak load shifting volatility, improve the economic benefit of the wind power plant, and improve the economic benefits of wind power plant storage.