A Grasshopper Optimization Algorithm to solve optimal distribution system reconfiguration and distributed generation placement problem

This paper presents a novel technique for solving simultaneous optimal distribution system reconfiguration and DG placement problem in order to minimize active power loss. A meta-heuristic Grasshopper Optimization Algorithm (GOA) inspired from the swarming behavior of grasshoppers in nature is implemented to determine optimal solution to this optimization problem. The proposed method is applied to 33 and 69-bus test systems. The obtained results have been compared with other existing evolutionary algorithms, so that the comparisons confirm the performance as well as the effectiveness of the proposed method to determine the global optimum solution.