Particle Sharing Based Particle Swarm Frog Leaping Hybrid Optimization Algorithm for Solving Optimal Reactive Power Dispatch Problem

This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer setting are taken as the optimization variables. A particle sharing based particle swarm frog leaping hybrid optimization algorithm (PSFLH) is used to solve the reactive power dispatch problem. The algorithm uses the good global search capability of particle swarm and the strong local search ability of shuffled frog leaping algorithm, and overcomes the shortcomings of swarm intelligence algorithms to fall into local optimum at later stage and “premature” convergence. Simulation results show that this algorithm has better coverage optimization results. In order to evaluate the proposed algorithm, it has been tested on IEEE 30 bus system and compared to other algorithms and simulation results show that (PSFLH) is more efficient than other algorithms for solution of single-objective ORPD problem.