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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Bibliographic Details
Main Author:	Uzir, Muhammad Haikal
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Production of electric energy or power Powerplants Central stations
Online Access:	https://ir.uitm.edu.my/id/eprint/67293/2/67293.pdf
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id	my-uitm-ir.67293
record_format	uketd_dc
spelling	my-uitm-ir.672932023-02-03T15:28:31Z Optimal investment planning for distributed generation / Muhammad Haikal Uzir 2017 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 https://ir.uitm.edu.my/id/eprint/67293/ https://ir.uitm.edu.my/id/eprint/67293/2/67293.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Sheikh Rahimullah, Bibi Norasiqin
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Sheikh Rahimullah, Bibi Norasiqin
topic	Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations
spellingShingle	Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations 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
qualification_level	Bachelor degree
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
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/67293/2/67293.pdf
_version_	1783735675601813504

Optimal investment planning for distributed generation / Muhammad Haikal Uzir

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