Research on the optimal configuration method of energy storage based on wind power randomness

Abstract

Large-scale wind power integration into the power grid will bring some negative effects or even large faults to the power system, such as voltage instability, the change in the transient stability of the system, etc. This could lead to the low accuracy of the wind power prediction results and the unreasonable capacity configuration of the energy storage. In this paper, considering the uncertainty of wind power, the optimization model of minimizing the operating cost, voltage deviation, and pollutant emission is constructed. Additionally, the mixed probability optimization algorithm (PLF-NSGAII-MOPSO) is calculated and analyzed. The results show that the method proposed in this paper is beneficial to finding the optimal configuration of energy storage under the condition of wind power access.