Optimal configuration of energy storage capacity in microgrid based on improved grey wolf optimizer algorithm

In order to improve the voltage quality of microgrid, and lower the configuration cost of energy storage system, a method based on Improved Grey Wolf Optimizer (IGWO) for the optimal configuration of the energy storage capacity in microgrid is proposed. The IGWO algorithm generates the initial population by introducing Tent chaotic mapping to enhances the diversity of the population; by linearly decreasing inertia weight, better balance local search and global search capabilities; by randomly adjusting the control parameter, the optimization performance of the algorithm is greatly improved. The simulation results verify the superiority of IGWO algorithm in solving the energy storage capacity allocation problem of microgrid, which provides a new solution to improve the operation economy of microgrid system.