A GA-based method for performance improvement of distribution systems using DG sources

This paper presents a Genetic Algorithm (GA)-based method to determine the location and size of DG sources in distribution systems using single DG placement algorithm for determining the locations at first. Then, the GA is utilized to determine the global sizes of DG sources which minimize single- o...

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Bibliographic Details
Published in2017 Nineteenth International Middle East Power Systems Conference (MEPCON) pp. 1447 - 1452
Main Authors Abdel-Salam, M., El-Mohandes, M. Th, Yousef, Ali M., Abdel-Hakim, Alaa E., Ramadan, R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2017
Subjects
Capacitors
DG placement
Genetic Algorithm
Genetic algorithms
IEEE 33-bus system
Linear programming
Load flow
Minimization
multi objective function
Prediction algorithms
Reactive power
single DG placement algorithm
single objective function
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DOI10.1109/MEPCON.2017.8301373

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Summary:This paper presents a Genetic Algorithm (GA)-based method to determine the location and size of DG sources in distribution systems using single DG placement algorithm for determining the locations at first. Then, the GA is utilized to determine the global sizes of DG sources which minimize single- or multi-objective function related to these systems. The influence of active- and reactive-power injection on the sizing and placement of DG sources is investigated. The predictions of the proposed method as regards the sizing and placement of DG sources are compared with those obtained before using particle swarm optimization at steady weather conditions.
DOI:10.1109/MEPCON.2017.8301373