Performance improvement of electrical distribution system using photovoltaic generation based on particle swarm optimization

Distributed generators are used to support the main power stations as well as the capacities of the secondary distribution stations and diversify energy sources. The right placement of distributed generators helps the power losses minimization in the electrical network and enhances the voltage profile. This paper presents a proposed performance analysis of photovoltaic distributed generators in term of term of optimal location and voltage profile. Particle swarm optimization algorithm is used for the optimal location in the radial distribution systems and voltage profile improving. The objective function of this algorithm is to minimize and reduce the total power losses of distribution network. The proposed method is tested using a dataset of an actual feeder of AL-akrameen (11kV) feeder, which is fed from Almashtal substation (33/11kV) as a part of power distribution network in Babil city/ Iraq. This dataset includes practical measurements of the loads of this feeder such as; currents, voltages, power factors, frequency and consumption power. The obtained simulation results show the validity and effectiveness of the proposed methodology in performance improvement through power loss reduction, main current supporting and voltage profile of such systems. The proposed model is implemented based on the actual dataset using MATLAB.