Optimal Placement and Size of Distributed Generators Based on Autoadd and PSO to Improve Voltage Profile and Minimize Power Losses

Mustafa R Nasser,Inaam I Ali,Mohammed H Alkhafaji

doi:10.30684/etj.v39i3a.1781

Abstract

This work aims to improve the voltage profile and reduce electrical network losses through optimal planning of distributed generators. A new search algorithm (Autoadd) along with the (PSO) are introduced to choose the best location and size for distributed generators. Two systems are implemented; a 33-bus test network and a 30-bus of a local community in the city of Al- Diwaniyah. At the power flow, a solution is implemented using a fixed-point iteration method within an OpenDSS environment to check the performance of both networks. Moreover, the optimal location and size of the distributed generators are determined using Autoadd and PSO methods. The Autoadd method is implemented within the OpenDSS environment, while the (PSO) method is implemented within the MATLAB-OpenDSS environment through the com-interface. The validity and effectiveness of the proposed methods are validated by comparison with the published researches. The results have proven that the fixed-point method has achieved high efficiency and accuracy in terms of analyzing the power flow, whereas the (Autoadd) algorithm has achieved a better effect in terms of improving the voltage profile and minimizing losses

Highlights

The distribution systems suffer from high voltage drops, high power loss, and low voltage stability, in addition to the constantly increasing demand [1, 2]
The single-line IEEE 33-bus radial distribution system illustrated in Figure 7 is chosen
It could be noted that the method (Autoadd) outperformed over (PSO) in terms of improving the voltage profile and loss reduction; the reason is that the improved voltage and the reduction of losses depend on the location and the optimum size of the distributed generators

Summary

Introduction

The distribution systems suffer from high voltage drops, high power loss, and low voltage stability, in addition to the constantly increasing demand [1, 2]. At present, these issues have led to increasing interest in the distributed generators in the generation and transportation sectors [3]. Distributed Generators (DGs) are gaining importance in the energy market because of their high reliability and efficiency and as a promising way to reduce stress on transmission and distribution lines [4]. The common and most used way to reduce losses and to improve voltage profile is to determine the optimal location and size of DGs over the network [6]

Objectives

Methods

Results

Conclusion