A Multi-Objective Hybrid Algorithm for Planning Electrical Distribution System

In the paper a multi-objective Gravitational Search Algorithm (GSA) and Tabu heuristic search for planning electrical distribution system is proposed. The GSA has been minimized the Distribution Generator (DG) investment cost, cost of distribution system losses, operation and maintenance cost of DG with the help of appropriate constraints. So the optimum sizing of DG is planned in the optimum location with reduced cost. Here, the Gravitational Search Algorithm (GSA) accelerates convergence speed with combination of the search strategy of Tabu heuristic search method. Then the proposed multi-objective hybrid algorithm for planning electrical distribution system is implemented in the MATLAB platform and the effectiveness is analyzed by comparing with the other techniques. The comparison results demonstrate the superiority of the proposed approach and confirm its potential to solve the problem.