Optimal Research on Siting and Sizing of Energy Storage in Distribution Network

Abstract

Carbon peaking and carbon neutrality (double carbon) goals have promoted the development of new energy generation, and the increased penetration of new energy generation has reduced the power quality of the power grid. Distributed energy storage plays an important role in improving the uncertainty and volatility of new energy generation output. Therefore, in this paper an energy storage siting and size model is established, with the objectives of nodal voltage fluctuation, energy storage investment cost, and minimum load fluctuation. The entropy weighting method is adopted to assign weights to the indicators, and an improved multi-objective particle swarm algorithm is used to solve the model and determine the node location and capacity of the energy storage device configuration. The simulation is conducted to verified the proposed optimal method, by employing IEEE-33 node distribution system under different operating scenarios.