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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)
TK Electrical engineering. Electronics Nuclear engineering
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
http://eprints.utem.edu.my/id/eprint/24120/
http://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=115451
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spelling my.utem.eprints.241202022-03-15T09:16:05Z http://eprints.utem.edu.my/id/eprint/24120/ Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems 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 NonPeerReviewed text en 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 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 Hassan, Ayat Saleh (2019) Optimal Location And Sizing Of Distrubuted Generator Using PSO And GA Algorithms In Power Systems. Masters thesis, Universiti Teknikal Malaysia Melaka. http://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=115451
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
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
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
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
http://eprints.utem.edu.my/id/eprint/24120/
http://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=115451
_version_ 1728055197485236224
score 13.211869

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