Optimal Placement and Sizing of Energy-related Devices in Microgrids Using Grasshopper Optimization Algorithm

Economic designing of microgrids is considered as a multivariable optimization problem. There are several practical remarks in protection, siting and energy management of microgrids. To provide the minimum investment with full operation of DG units, sizing optimization methods should be taken into account. In this paper, modified grasshopper optimization algorithm (MGOA) has been applied to find a solution for the economic dispatch(ED) problem and reconfigure the network structure of microgrids. Cost of energy (COE) and deficiency of power supply probability (DPSP) have been integrated to define an objective function for sizing problem. Simulation results demonstrate the capability of this algorithm to size the autonomous microgrid systems in compare with the similar metaheuristic approaches. It has fast convergence and sustainable balance between exploitation and exploration.