Optimal Sizing and Energy Management of a Microgrid using Single and Multi-Objective Particle Swarm Optimization under Autonomous and Grid Connected mode 2019-28-0158
The conventional energy sources are getting depleted while at the same time the energy demand keeps growing. Hence, it is important to consider non-conventional energy sources to meet the future energy demands. The renewable energy based microgrid system is one of the promising solutions to meet this increas-ing energy demand. The major parameters under consideration in a micro-grid system are cost-effectiveness, quality of service and energy management. This paper concentrates on the energy management of the Photo-voltaic/Wind based microgrid system connected to the fuel cell, microturbine and battery under Islanding (or) Autonomous mode and Grid-Connected Mode. The optimal combination of these sources with the aim of min-imizing operating cost, pollutant treatment cost and maximizing reliability using single/multi-objective particle swarm optimization (PSO) has been considered. This microgrid has also been analyzed under different strategies and the best energy management strategy is arrived at. In addition to this, the type and number of PV, Wind, and Battery to meet the forecasted demand are determined under islanding mode using Multi-Objective Particle Swarm Optimization (MOPSO). The coding/simulation has been performed in MATLAB environment.