Energy Management Optimization and Optimal Control of Microgrid Enriched with Renewable and Sustainable Distributed Generators Using Nature-Inspired Method

Abstract

One of most general nature-inspired meta-heuristic methods called Grey Wolf Optimization (GWO) inspired by grey wolves is applied to solve the energy management optimization (EMO) and optimal control (OC) problems of micro-grid (MG) impregnated with renewable and sustainable distributed generators (REDG). Our main goal is to minimize nonlinear objectives function of an electrical micro-grid taking into account a set of constraints. GWO method have been examined and tested on MG system composed of different types of DGs, such as wind turbines (WT), photovoltaic systems (PV), micro turbines (MT), fuel cells (FC), diesel electric generator (DEG), and loads with energy storage systems (ESS). The results are promising and show the effectiveness and robustness of proposed approach to solve the EMO and OC problems in different operational scenarios.