Research on Capacity Optimization of Wind-Storage System Based on Fuzzy Control Strategy

Abstract

The wind storage combined power generation mode can effectively solve the technical bottlenecks of large-scale wind power grid connected operation and improve the grid's ability to accept wind power. However, due to the high cost of energy storage and the imperfection of the electricity price mechanism, it is necessary to study the capacity optimization of wind-storage combined generation system. Based on the fuzzy control strategy, this paper determined the charge and discharge model of the wind-storage system, and established the Monte Carlo reliability evaluation model and the economic evaluation model that aims at maximizing the annual economic benefits of the system. Then the optimal allocation of wind-storage capacity was obtained by analyzing the reliability index and economic index of the different wind storage capacity rate through the actual wind field test data. Finally, the State of Charge (SOC) at the optimal capacity allocation was analyzed. The result shows that the reasonable allocation of wind-storage capacity is conducive to the reliable and economic operation of the system.