MULTI-OBJECTIVE EVOLUTIONARY PROGRAMMING (MOEP) USING MUTATION BASED ON ADAPTIVE MUTATION OPERATOR (AMO) APPLIED FOR OPTIMAL REACTIVE POWER DISPATCH

Nowadays, power system operates in a stressed condition and causes the voltage at a load bus to drop to a point lower than secure limit. Hence, this research involves development of an adaptive mutation algorithm based multi-objective for Optimal Reactive Power Dispatch (ORPD) in a power system in order to minimize the total loss and the improved voltage stability simultaneously. The Optimal Reactive Power Dispatch problem is formulated as a non-linear constrained multi-objective optimization problem. Furthermore, the proposed mutation was applied into the Multi-Objective Evolutionary Programming (MOEP) in order to optimize the installation of reactive power into the power system networks. The method was a test of IEEE 30-Bus RTS systems and the results have been compared with Multi-objective Evolutionary Programming based Polynomial Mutation Operator (MOEP-PMO) indicating that MOEP-AMO outperformed MOEP-PMO.