Configuration and Robust Optimization Method of Energy Storage Capacity on the User Side of Power Grid Based on Improved Grey Wolf Algorithm

Abstract

The configuration and optimization of energy storage capacity on the user side of the power grid are currently active research areas in the power system. This article presents a method that utilizes an enhanced Grey Wolf algorithm to address the issues of configuring and optimizing energy storage capacity on the user side. The Grey Wolf algorithm is improved by incorporating differential evolution and calculating the fitness value. Based on this, the objective function for the configuration model of user-side energy storage capacity is established, considering the uncertainty parameters as uncertainty set to achieve robust optimization. The design of the method for user-side energy storage capacity configuration and robust optimization, utilizing the improved Grey Wolf algorithm, is accomplished. The experimental results confirm the practicality of the proposed method.