Optimal location and sizing of distributed generation for voltage profile improvement and loss minimization / Mohamad Ariff Nur Hakim Mohamad Zahir

This paper presents the optimal location and sizing of distributed generation (DG) for voltage profile improvement and loss minimization. The study involves the development of Evolutionary Programming as an optimization technique. This technique was developed to two differences of programming which...

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Main Author: Mohamad Zahir, Mohamad Ariff Nur Hakim
Format: Thesis
Language:English
Published: 2015
Online Access:https://ir.uitm.edu.my/id/eprint/85278/1/85278.pdf
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spelling my-uitm-ir.852782024-02-14T02:38:28Z Optimal location and sizing of distributed generation for voltage profile improvement and loss minimization / Mohamad Ariff Nur Hakim Mohamad Zahir 2015 Mohamad Zahir, Mohamad Ariff Nur Hakim This paper presents the optimal location and sizing of distributed generation (DG) for voltage profile improvement and loss minimization. The study involves the development of Evolutionary Programming as an optimization technique. This technique was developed to two differences of programming which are for optimization the improving of minimum voltage profile and minimizing the total power loss as objective function. Comparison with respect to single and multiple DG was conducted in order to highlight its objective function. The proposed technique was tested on IEEE 69-bus distribution test system. The results had shown that the voltage profile and power loss having its improvement by using multiple DG. 2015 Thesis https://ir.uitm.edu.my/id/eprint/85278/ https://ir.uitm.edu.my/id/eprint/85278/1/85278.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Mat Yasin, Zuhaila
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Mat Yasin, Zuhaila
description This paper presents the optimal location and sizing of distributed generation (DG) for voltage profile improvement and loss minimization. The study involves the development of Evolutionary Programming as an optimization technique. This technique was developed to two differences of programming which are for optimization the improving of minimum voltage profile and minimizing the total power loss as objective function. Comparison with respect to single and multiple DG was conducted in order to highlight its objective function. The proposed technique was tested on IEEE 69-bus distribution test system. The results had shown that the voltage profile and power loss having its improvement by using multiple DG.
format Thesis
qualification_level Bachelor degree
author Mohamad Zahir, Mohamad Ariff Nur Hakim
spellingShingle Mohamad Zahir, Mohamad Ariff Nur Hakim
Optimal location and sizing of distributed generation for voltage profile improvement and loss minimization / Mohamad Ariff Nur Hakim Mohamad Zahir
author_facet Mohamad Zahir, Mohamad Ariff Nur Hakim
author_sort Mohamad Zahir, Mohamad Ariff Nur Hakim
title Optimal location and sizing of distributed generation for voltage profile improvement and loss minimization / Mohamad Ariff Nur Hakim Mohamad Zahir
title_short Optimal location and sizing of distributed generation for voltage profile improvement and loss minimization / Mohamad Ariff Nur Hakim Mohamad Zahir
title_full Optimal location and sizing of distributed generation for voltage profile improvement and loss minimization / Mohamad Ariff Nur Hakim Mohamad Zahir
title_fullStr Optimal location and sizing of distributed generation for voltage profile improvement and loss minimization / Mohamad Ariff Nur Hakim Mohamad Zahir
title_full_unstemmed Optimal location and sizing of distributed generation for voltage profile improvement and loss minimization / Mohamad Ariff Nur Hakim Mohamad Zahir
title_sort optimal location and sizing of distributed generation for voltage profile improvement and loss minimization / mohamad ariff nur hakim mohamad zahir
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2015
url https://ir.uitm.edu.my/id/eprint/85278/1/85278.pdf
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