Abstract: Reactive power optimization is recorded as a complex, non linear and very important problem for keeping the power system running under normal conditions. In this study, original Particle Swarm Optimization (PSO) and Chaotic (CPSO) algorithms are utilized as an optimization tools for the solution of this problem. Two types of loads are presented in this problem: the constant loads (light) and variable loads (heavy) are presented to evaluate and test the efficiency and consistency of the CPSO algorithm for solving this problem when the load is changing. In this study in order to prevent plunge at the premature convergence to the local optima, also to improving the quality and search ability of the original PSO algorithm, chaotic strategy is incorporating with PSO algorithm to form a hybrid algorithm called CPSO algorithm. This incorporating is very helping to slip more easily from the local optima, to get accurate solution and also to reach optimal solution in less number of iterations compared to original PSO algorithm and other algorithms in the literature due to the special behavior and ergodic of the chaos strategy than random search in original PSO algorithm. In this problem, the decreasing of real Power Loss (PL) is an objective function while dealing with some of inequality and equality constrains. The calculations of reactive power optimization are a part of Optimal Power Flow (OPE) calculations. The original PSO and CPSO algorithms are tested on IEEE Standard-14 and-30 bus systems. The simulation implications indicate that, CPSO algorithm has best convergence characteristic and obtained solutions close to the optimal results for reducing power loss and dealing with inequality and equality constrains at the same time comparison with original PSO and other techniques in the literature for constant loads and comparison with original PSO for the case of variable loads.
Ali Nasser Hussain, Ali Abdulabbas Abdullah and Omar Muhammed Neda, 2019. Optimal Capacitor Sizing for Reactive Power Optimization by Using a New Hybrid Algorithm Based on Merging of Chaotic Strategy with PSO Algorithm. Journal of Engineering and Applied Sciences, 14: 2112-2123. Asian Journal of Information Technology, 18: 250-260.