Optimal Dispatch of Energy Resources in an Isolated Micro-Grid with Battery Energy Storage System

With the demise of conventional fossil fuels and increased pollution rates, the intermittent renewables are considered suitable alternates. The erratic nature of loads in the distribution grid further affects the reliability of power systems. Micro-grid with interconnected loads and distributed generation will be beneficial for certain areas, where the extension of grid connectivity is not feasible. Further, the advancement of the battery storage system enables the distribution grid to consider it as the source, whenever the power generation is not available. In the present study, a micro-grid with distributed generation and interconnected loads up to 82kW has been considered. The main objective of the present study is to minimize the overall fuel cost by achieving the optimal scheduling of energy sources. Extensive analysis has been carried to achieve the optimal dispatch condition at all the instances while solving the demand criteria. To reduce the fuel cost, several optimization strategies including particle swarm optimization (PSO), whale optimization algorithm (WOA), grey wolf optimization (GWO), and modified grey wolf optimization (MGWO) have been adopted. For the present test study, the MGWO algorithm has yielded better results when compared with other traditional optimization algorithms. The total cost of microgrid optimized through WOA, GWO, PSO, MGWO is 1455.50 (€/day), 1451.70 (€/day), 1449.87 (€/day), and 1433.60 (€/day) respectively.