Dynamic voltage restorer-based power quality optimization using differential evolution algorithm

Abstract

Homes and industrial companies including electric utilities are much concerned about the study of power quality and ways to control it. This is due to equipment and new household’s technologies becoming more sensitive to even small changes of supply voltages. Therefore power quality is one of the most important aspects in smart grid’s vision of becoming a reliable and efficient new generation power grid. This paper attempts to develop a strategy that overcomes poor power quality in smart grid by using Dynamic Voltage Restorer (DVR) due to its efficient compensation of voltage sags and swells. Employing improved Differential Evolution (DE) based on Multi-Objective Parallel Operation (MOPO) due to its fast convergence and ability to give high rank to the population according to hyper-volume defined by the Pareto front. Two types of simulations will be run, SIMULINK simulation and M.FILE simulation to show the fast respond achieved by the DVR when Evolutionary Algorithm is employed, and also to compare the classical DE with improved DE based on parallel operation multi-objective optimization.