Back to Search Start Over

A PSO Based Technique for Optimal Integration of DG into the Power Distribution System

Authors :
K. Moloi
Jaco Jordaan
Yskandar Hamam
Source :
Advances in Neural Networks – ISNN 2020 ISBN: 9783030642204, ISNN
Publication Year :
2020
Publisher :
Springer International Publishing, 2020.

Abstract

Integrating renewable energy distributed generation (REDG) into the existing power distribution grid has become a significantly exercise to carry out. This is because of several technical, economic and environmental benefits accruing from it. However, optimal location and sizing of REDG especially photovoltaic (PV) and wind turbine (WT), is still a difficult task due to the natural dependency of these renewable source on meteorological conditions. In this paper, we proposed a technique based on particle swarm optimization (PSO) to solve the location and sizing of REDG problem. The proposed PSO algorithm is used to minimize the power losses and maximize the voltage stability of the power grid distribution system integrated with REDG. The paper also presents a comparison of the proposed method and other related techniques for REDG sizing and location. The proposed method is validated using the IEEE 33 bus systems.

Details

ISBN :
978-3-030-64220-4
ISBNs :
9783030642204
Database :
OpenAIRE
Journal :
Advances in Neural Networks – ISNN 2020 ISBN: 9783030642204, ISNN
Accession number :
edsair.doi...........66f1265eb922e26d45f71aad73ca28cd