Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems

There are numerous advantages that can be obtained when Distributed Generation (DG) is integrated into the distribution systems. These advantages include improving the voltage profiles and reducing the power losses of the distribution system. Such advantages can be accomplished and confirmed if the...

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Main Author:	Hassan, Ayat Saleh
Format:	Thesis
Language:	English English
Published:	2019
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/24120/1/Optimal%20Location%20And%20Sizing%20Of%20Distrubuted%20Generator%20Using%20PSO%20And%20GA%20Algorithms%20In%20Power%20Systems%20-%20Ayat%20Saleh%20Hassan%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/24120/2/Optimal%20Location%20And%20Sizing%20Of%20Distrubuted%20Generator%20Using%20PSO%20And%20GA%20Algorithms%20In%20Power%20Systems.pdf
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spelling	my-utem-ep.241202022-03-15T09:16:05Z Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems 2019 Hassan, Ayat Saleh T Technology (General) TK Electrical engineering. Electronics Nuclear engineering There are numerous advantages that can be obtained when Distributed Generation (DG) is integrated into the distribution systems. These advantages include improving the voltage profiles and reducing the power losses of the distribution system. Such advantages can be accomplished and confirmed if the DG units are optimally located and sized in the distribution systems. In fact, there are several algorithms used for optimizing the size and finding the best location to install DG units in the power system. Some existing algorithms need to be improved while others, need to add a new parameter for improving the performance of optimization methods and making it more effective and efficient. This research aimed to reduce total power losses and improve voltage profiles of the distribution system by proposing a practical swarm optimizion algorithm GA genetic algorithm to optimize DG size and location by taking into consideration increase number of DG units in the system. The multi-objective function, which represents the summation of product three indices by corresponding weights was utilized to identify the candidate buses to reduce the search space of the algorithm. The suggested algorithm of PSO and GA were tested using IEEE 30 bus test system taking into consideration with the increased number of DGs . After evaluating the robustness and efficiency of the algorithms in finding minimum power losses value, the results showed that the power losses value by PSO is lower than GA and PSO which gave the smallest standard deviation value compared to the GA algorithm and after finding the average time for each algorithm in which it can be said that the PSO is faster than the GA algorithms. 2019 Thesis http://eprints.utem.edu.my/id/eprint/24120/ http://eprints.utem.edu.my/id/eprint/24120/1/Optimal%20Location%20And%20Sizing%20Of%20Distrubuted%20Generator%20Using%20PSO%20And%20GA%20Algorithms%20In%20Power%20Systems%20-%20Ayat%20Saleh%20Hassan%20-%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/24120/2/Optimal%20Location%20And%20Sizing%20Of%20Distrubuted%20Generator%20Using%20PSO%20And%20GA%20Algorithms%20In%20Power%20Systems.pdf text en validuser http://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=115451 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Electrical Engineering
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Hassan, Ayat Saleh Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems
description	There are numerous advantages that can be obtained when Distributed Generation (DG) is integrated into the distribution systems. These advantages include improving the voltage profiles and reducing the power losses of the distribution system. Such advantages can be accomplished and confirmed if the DG units are optimally located and sized in the distribution systems. In fact, there are several algorithms used for optimizing the size and finding the best location to install DG units in the power system. Some existing algorithms need to be improved while others, need to add a new parameter for improving the performance of optimization methods and making it more effective and efficient. This research aimed to reduce total power losses and improve voltage profiles of the distribution system by proposing a practical swarm optimizion algorithm GA genetic algorithm to optimize DG size and location by taking into consideration increase number of DG units in the system. The multi-objective function, which represents the summation of product three indices by corresponding weights was utilized to identify the candidate buses to reduce the search space of the algorithm. The suggested algorithm of PSO and GA were tested using IEEE 30 bus test system taking into consideration with the increased number of DGs . After evaluating the robustness and efficiency of the algorithms in finding minimum power losses value, the results showed that the power losses value by PSO is lower than GA and PSO which gave the smallest standard deviation value compared to the GA algorithm and after finding the average time for each algorithm in which it can be said that the PSO is faster than the GA algorithms.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Hassan, Ayat Saleh
author_facet	Hassan, Ayat Saleh
author_sort	Hassan, Ayat Saleh
title	Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems
title_short	Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems
title_full	Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems
title_fullStr	Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems
title_full_unstemmed	Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems
title_sort	optimal location and sizing of distrubuted generator using pso and ga algorithms in power systems
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Electrical Engineering
publishDate	2019
url	http://eprints.utem.edu.my/id/eprint/24120/1/Optimal%20Location%20And%20Sizing%20Of%20Distrubuted%20Generator%20Using%20PSO%20And%20GA%20Algorithms%20In%20Power%20Systems%20-%20Ayat%20Saleh%20Hassan%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/24120/2/Optimal%20Location%20And%20Sizing%20Of%20Distrubuted%20Generator%20Using%20PSO%20And%20GA%20Algorithms%20In%20Power%20Systems.pdf
_version_	1747834068197703680

Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems

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