Chaotic Particle Swarm Optimization for Solving Reactive Power Optimization Problem

The losses in electrical power systems are a great problem. Multiple methods have been utilized to decrease transmission lines. proper adjusting of reactive resources is one way minimize the any system. Reactive Power Optimization (RPO) problem nonlinear and complex optimization contains equality inequality constraints. RPO highly essential operation control systems. Therefore, study concentrates on Optimal Load Flow calculation solving problems. Simple Particle Swarm (PSO) often falls into local optima solution. To prevent this limitation speed up convergence for PSO algorithm, employed an improved hybrid algorithm based Chaotic theory with PSO, called (CPSO) algorithm. Undeniably, merging chaotic can be efficient method slip very easily from compared due remarkable behavior high ability chaos. In study, CPSO was as tool problem; main objective loss enhance voltage profile presented tested IEEE Node-14 simulation implications system reveal that provides best results. It had line improve system's other approaches literature.