Optimal management of MicroGrid using differential evolution approach

This paper focused on optimal operating strategy and cost optimization scheme for a MicroGrid by using Differential Evolution Algorithm. Prior to the optimization of the microgrid itself, the system model components from some real manufactural data are constructed. The proposed cost function takes into consideration the costs of the emissions NOx, SO2, and CO2 as well as the operation and maintenance costs. The battery storage is used for storing excess energy. The optimization is aimed at minimizing the cost function of the system while constraining it to meet the customer demand and safety of the system.