AI solution to economic dispatch

In this study, proposes an AI optimization method for solving the economic dispatch (ED) problem in power systems. Many nonlinear characteristics of the generator, such as ramp rate limits, prohibited operating zone, and non-smooth cost functions are considered using the proposed method in practical...

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Bibliographic Details
Main Author:	Nur Farhanah, Wakiman
Format:	Undergraduates Project Papers
Language:	English
Published:	2009
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/1944/ http://umpir.ump.edu.my/id/eprint/1944/ http://umpir.ump.edu.my/id/eprint/1944/1/Nur_Farhanah_Wakiman_%28_CD_5295_%29.pdf

id	ump-1944
recordtype	eprints
spelling	ump-19442015-03-03T07:53:43Z http://umpir.ump.edu.my/id/eprint/1944/ AI solution to economic dispatch Nur Farhanah, Wakiman TK Electrical engineering. Electronics Nuclear engineering In this study, proposes an AI optimization method for solving the economic dispatch (ED) problem in power systems. Many nonlinear characteristics of the generator, such as ramp rate limits, prohibited operating zone, and non-smooth cost functions are considered using the proposed method in practical generator operation. The feasibility of the proposed method is demonstrated for two different systems, and it is compared with the Conventional method in terms of the solution quality and computation efficiency. The experimental results show that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems. 2009-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1944/1/Nur_Farhanah_Wakiman_%28_CD_5295_%29.pdf Nur Farhanah, Wakiman (2009) AI solution to economic dispatch. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:54784&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Nur Farhanah, Wakiman AI solution to economic dispatch
description	In this study, proposes an AI optimization method for solving the economic dispatch (ED) problem in power systems. Many nonlinear characteristics of the generator, such as ramp rate limits, prohibited operating zone, and non-smooth cost functions are considered using the proposed method in practical generator operation. The feasibility of the proposed method is demonstrated for two different systems, and it is compared with the Conventional method in terms of the solution quality and computation efficiency. The experimental results show that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems.
format	Undergraduates Project Papers
author	Nur Farhanah, Wakiman
author_facet	Nur Farhanah, Wakiman
author_sort	Nur Farhanah, Wakiman
title	AI solution to economic dispatch
title_short	AI solution to economic dispatch
title_full	AI solution to economic dispatch
title_fullStr	AI solution to economic dispatch
title_full_unstemmed	AI solution to economic dispatch
title_sort	ai solution to economic dispatch
publishDate	2009
url	http://umpir.ump.edu.my/id/eprint/1944/ http://umpir.ump.edu.my/id/eprint/1944/ http://umpir.ump.edu.my/id/eprint/1944/1/Nur_Farhanah_Wakiman_%28_CD_5295_%29.pdf
first_indexed	2023-09-18T21:55:19Z
last_indexed	2023-09-18T21:55:19Z
_version_	1777414039653056512

AI solution to economic dispatch

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