Abstract
A new multi-objective Jaya (MOJaya) algorithm for solving optimal power flow (OPF) problem is developed in this paper. The developed MOJaya algorithm has been implemented to solve the multi-objective OPF (MOPF) problem with conflicting objectives, which are generating fuel cost minimization, voltage deviation improvement, voltage stability enhancement, active power losses reduction and system security enhancement. The developed algorithm is applied to find a set of Pareto-optimal solutions. Moreover, an algorithm based on fuzzy logic is implemented to identify the best compromise solution among the Pareto optimal set of solutions. Results are obtained by running the simulation on IEEE 30-bus test system which confirms the efficacy of the developed algorithm in solving real MOPF cases and also in ascertaining well-distributed Pareto optimal set of solutions.