Optimization of Reactive Power and Voltage Control in Power System Using Hybrid Artificial Neural Network and Particle Swarm Optimization

Abstract

Optimization of reactive power and voltage control to minimalize the active power loss in the power system becomes one of the important aspects in order to improve the power system quality as a solution in determining the precise value of control variable. The optimization of managing control variable in this paper recommends the mix-method of the artificial neural network (ANN) as the starting initialization and time varying nonlinear particle swarm optimization (TVNL-PSO). This method is tested in the power system of IEEE-14 buses. The hybrid ANN - TVNL-PSO results 12.3609 MW of active power loss. The approach proposed is compared to previously used by the other researchers. The performance of the proposed approach indicates that it solves the problem better.