Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm

Recently, the rapid growth development of the Distribution system has caused the problem arising due to the usage Distributed Generation (DG). The DG units have a few advantages, for example reduced distribution losses, improve the voltage profile, reduced capacity costs and the most important thing...

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Main Author: Mohamad Zunnurain Fauzi
Format: text::Final Year Project
Language:English
Published: 2023
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spelling my.uniten.dspace-204432024-09-02T11:36:47Z Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm Mohamad Zunnurain Fauzi Distribution generation Recently, the rapid growth development of the Distribution system has caused the problem arising due to the usage Distributed Generation (DG). The DG units have a few advantages, for example reduced distribution losses, improve the voltage profile, reduced capacity costs and the most important thing being environmentally friendly. All these advantages are very important in solving the issues arise in the Distribution system. However, the misplacement of the DG location and incorrectly DG size chosen will lead to another problem network. There are many methods that can be used for power losses minimization such as Firefly Algorithm (FA), Ant Colony Optimization (ACO) and B-losses coefficient. Therefore, a method which is Artificial Bee Colony (ABC) algorithm is proposed in this project for the optimal location and size of DG used in minimizing power losses and improve voltage profile. The minimization of power losses and the improvement of the voltage stability are important considerations as the power system will be more efficient and the quality of the performance will increase while supplying electricity to the customer. The ABC algorithm method has been implemented into the test system of IEEE 33 bus system which is showed in 3 cases. The first case the system will operate without DG installation and the rest of the cases system will operate with single and multiple DG installation with specified power factor. MATLAB is used by the assigned ABC algorithm to run the programme. This project performance has been compared with single and multiple DG installation as the system operate without DG installation being a reference point and the project showed the best result. The comparison between single and multiple DG installation showed the multiple DG installation is better for power losses minimization. 2023-05-03T15:01:05Z 2023-05-03T15:01:05Z 2020-02 Resource Types::text::Final Year Project https://irepository.uniten.edu.my/handle/123456789/20443 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic Distribution generation
spellingShingle Distribution generation
Mohamad Zunnurain Fauzi
Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm
description Recently, the rapid growth development of the Distribution system has caused the problem arising due to the usage Distributed Generation (DG). The DG units have a few advantages, for example reduced distribution losses, improve the voltage profile, reduced capacity costs and the most important thing being environmentally friendly. All these advantages are very important in solving the issues arise in the Distribution system. However, the misplacement of the DG location and incorrectly DG size chosen will lead to another problem network. There are many methods that can be used for power losses minimization such as Firefly Algorithm (FA), Ant Colony Optimization (ACO) and B-losses coefficient. Therefore, a method which is Artificial Bee Colony (ABC) algorithm is proposed in this project for the optimal location and size of DG used in minimizing power losses and improve voltage profile. The minimization of power losses and the improvement of the voltage stability are important considerations as the power system will be more efficient and the quality of the performance will increase while supplying electricity to the customer. The ABC algorithm method has been implemented into the test system of IEEE 33 bus system which is showed in 3 cases. The first case the system will operate without DG installation and the rest of the cases system will operate with single and multiple DG installation with specified power factor. MATLAB is used by the assigned ABC algorithm to run the programme. This project performance has been compared with single and multiple DG installation as the system operate without DG installation being a reference point and the project showed the best result. The comparison between single and multiple DG installation showed the multiple DG installation is better for power losses minimization.
format Resource Types::text::Final Year Project
author Mohamad Zunnurain Fauzi
author_facet Mohamad Zunnurain Fauzi
author_sort Mohamad Zunnurain Fauzi
title Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm
title_short Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm
title_full Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm
title_fullStr Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm
title_full_unstemmed Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm
title_sort optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm
publishDate 2023
_version_ 1809152807536689152
score 13.209306