Grey wolves optimizer approach for maximizing social welfare benefit in competitive electricity markets / Nur Ain Asyikin Mat Jais

In traditional power system industry, economic dispatch approach is adapted in the system operation and planning with the objective to minimize the cost. With the introduction of liberalized energy market, this objective has diverged to maximize customer utility, minimize the customer discomfort and...

Full description

Saved in:

Bibliographic Details
Main Author:	Mat Jais, Nur Ain Asyikin
Format:	Thesis
Language:	English
Published:	2020
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	https://ir.uitm.edu.my/id/eprint/67242/2/67242.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.67242
record_format	uketd_dc
spelling	my-uitm-ir.672422023-01-09T03:40:21Z Grey wolves optimizer approach for maximizing social welfare benefit in competitive electricity markets / Nur Ain Asyikin Mat Jais 2020 Mat Jais, Nur Ain Asyikin TK Electrical engineering. Electronics. Nuclear engineering In traditional power system industry, economic dispatch approach is adapted in the system operation and planning with the objective to minimize the cost. With the introduction of liberalized energy market, this objective has diverged to maximize customer utility, minimize the customer discomfort and maximize social welfare benefits. This study presents the solution to unit commitment problem in order to maximize social welfare benefits in competitive electricity market. Grey Wolf Optimization (GWO) method is used to solve this problem. A system consists of seven hydro units and four thermal units is tested with the proposed method. The results show that the maximization of social welfare benefit can be obtained and the opportunity cost for generator can be determined. 2020 Thesis https://ir.uitm.edu.my/id/eprint/67242/ https://ir.uitm.edu.my/id/eprint/67242/2/67242.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	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Mat Jais, Nur Ain Asyikin Grey wolves optimizer approach for maximizing social welfare benefit in competitive electricity markets / Nur Ain Asyikin Mat Jais
description	In traditional power system industry, economic dispatch approach is adapted in the system operation and planning with the objective to minimize the cost. With the introduction of liberalized energy market, this objective has diverged to maximize customer utility, minimize the customer discomfort and maximize social welfare benefits. This study presents the solution to unit commitment problem in order to maximize social welfare benefits in competitive electricity market. Grey Wolf Optimization (GWO) method is used to solve this problem. A system consists of seven hydro units and four thermal units is tested with the proposed method. The results show that the maximization of social welfare benefit can be obtained and the opportunity cost for generator can be determined.
format	Thesis
qualification_level	Bachelor degree
author	Mat Jais, Nur Ain Asyikin
author_facet	Mat Jais, Nur Ain Asyikin
author_sort	Mat Jais, Nur Ain Asyikin
title	Grey wolves optimizer approach for maximizing social welfare benefit in competitive electricity markets / Nur Ain Asyikin Mat Jais
title_short	Grey wolves optimizer approach for maximizing social welfare benefit in competitive electricity markets / Nur Ain Asyikin Mat Jais
title_full	Grey wolves optimizer approach for maximizing social welfare benefit in competitive electricity markets / Nur Ain Asyikin Mat Jais
title_fullStr	Grey wolves optimizer approach for maximizing social welfare benefit in competitive electricity markets / Nur Ain Asyikin Mat Jais
title_full_unstemmed	Grey wolves optimizer approach for maximizing social welfare benefit in competitive electricity markets / Nur Ain Asyikin Mat Jais
title_sort	grey wolves optimizer approach for maximizing social welfare benefit in competitive electricity markets / nur ain asyikin mat jais
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/67242/2/67242.pdf
_version_	1783735671004856320

Grey wolves optimizer approach for maximizing social welfare benefit in competitive electricity markets / Nur Ain Asyikin Mat Jais

Similar Items