Determining optimal size and placement of renewable DG considering variation of load

Abstract

An advance algorithm to decide optimal size and place of renewable DG by applying adaptive particle swarm optimization (A-PSO) technique is reported in this work. A multiobjective function has been proposed to improve voltage profile, maximize economic benefit and reduction in active power losses. This work includes renewable energy sources based distributed generation (DG) technique like solar and biomass DGs. The time variations characteristics for solar DG and load have been considered in the system. Due to the problem of easily get trapped into local optima, particle Swarm optimization (PSO) may not be able to solve complex power system problems. Hence, APSO with variable weight function has been used in this work. The implementation of proposed technique has been presented for practical 94-bus portuguese radial distribution system. Simultaneous placement of both renewable DGs provides maximum benefits. The comparison between proposed and existing techniques have been presented which confirms that the suggested technique gives the superior result.