Optimal investment planning for distributed generation / Muhammad Haikal Uzir

This study proposes an approach by using particle swarm optimization (PSO) in order to obtain an optimal investment planning from the perspective of a distribution company (DISCO) for distributed generation (DG). The proposed method is tested on a 8-bus system and the results show that the investmen...

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Main Author: Uzir, Muhammad Haikal
Format: Thesis
Language:English
Published: 2017
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/67293/2/67293.pdf
https://ir.uitm.edu.my/id/eprint/67293/
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record_format eprints
spelling my.uitm.ir.672932023-02-03T15:28:31Z https://ir.uitm.edu.my/id/eprint/67293/ Optimal investment planning for distributed generation / Muhammad Haikal Uzir Uzir, Muhammad Haikal Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission This study proposes an approach by using particle swarm optimization (PSO) in order to obtain an optimal investment planning from the perspective of a distribution company (DISCO) for distributed generation (DG). The proposed method is tested on a 8-bus system and the results show that the investment of DISCO and the cost of operation are at minimum. 2017 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/67293/2/67293.pdf Optimal investment planning for distributed generation / Muhammad Haikal Uzir. (2017) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Production of electric energy or power. Powerplants. Central stations
Electric power distribution. Electric power transmission
spellingShingle Production of electric energy or power. Powerplants. Central stations
Electric power distribution. Electric power transmission
Uzir, Muhammad Haikal
Optimal investment planning for distributed generation / Muhammad Haikal Uzir
description This study proposes an approach by using particle swarm optimization (PSO) in order to obtain an optimal investment planning from the perspective of a distribution company (DISCO) for distributed generation (DG). The proposed method is tested on a 8-bus system and the results show that the investment of DISCO and the cost of operation are at minimum.
format Thesis
author Uzir, Muhammad Haikal
author_facet Uzir, Muhammad Haikal
author_sort Uzir, Muhammad Haikal
title Optimal investment planning for distributed generation / Muhammad Haikal Uzir
title_short Optimal investment planning for distributed generation / Muhammad Haikal Uzir
title_full Optimal investment planning for distributed generation / Muhammad Haikal Uzir
title_fullStr Optimal investment planning for distributed generation / Muhammad Haikal Uzir
title_full_unstemmed Optimal investment planning for distributed generation / Muhammad Haikal Uzir
title_sort optimal investment planning for distributed generation / muhammad haikal uzir
publishDate 2017
url https://ir.uitm.edu.my/id/eprint/67293/2/67293.pdf
https://ir.uitm.edu.my/id/eprint/67293/
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score 13.211869