Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu

This paper presents an economic dispatch prediction of electrical power system by using artificial neural networks (ANN). The objective of economic dispatch for generating units at different loads is to have total fuel cost at the minimum point. There are several methods which known as conventional...

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Main Author:	Sabtu, Ahmad Radzi
Format:	Thesis
Language:	English
Published:	2012
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/67225/2/67225.pdf
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id	my-uitm-ir.67225
record_format	uketd_dc
spelling	my-uitm-ir.672252023-01-09T01:27:58Z Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu 2012 Sabtu, Ahmad Radzi Neural networks (Computer science) Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission This paper presents an economic dispatch prediction of electrical power system by using artificial neural networks (ANN). The objective of economic dispatch for generating units at different loads is to have total fuel cost at the minimum point. There are several methods which known as conventional methods that can be used to solve economic dispatch problem such as Lambda (X) iteration method, Lagrange multiplier method and Newton Raphson method. However, the load variation is an obstacle in optimal dispatch of conventional methods. The proposed method has been tested on a three units system and the results are compared with the results obtained from Lambda iteration method. 2012 Thesis https://ir.uitm.edu.my/id/eprint/67225/ https://ir.uitm.edu.my/id/eprint/67225/2/67225.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	Neural networks (Computer science) Neural networks (Computer science) Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Neural networks (Computer science) Neural networks (Computer science) Sabtu, Ahmad Radzi Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu
description	This paper presents an economic dispatch prediction of electrical power system by using artificial neural networks (ANN). The objective of economic dispatch for generating units at different loads is to have total fuel cost at the minimum point. There are several methods which known as conventional methods that can be used to solve economic dispatch problem such as Lambda (X) iteration method, Lagrange multiplier method and Newton Raphson method. However, the load variation is an obstacle in optimal dispatch of conventional methods. The proposed method has been tested on a three units system and the results are compared with the results obtained from Lambda iteration method.
format	Thesis
qualification_level	Bachelor degree
author	Sabtu, Ahmad Radzi
author_facet	Sabtu, Ahmad Radzi
author_sort	Sabtu, Ahmad Radzi
title	Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu
title_short	Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu
title_full	Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu
title_fullStr	Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu
title_full_unstemmed	Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu
title_sort	economic dispatch prediction for power generation using artificial neural networks / ahmad radzi sabtu
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2012
url	https://ir.uitm.edu.my/id/eprint/67225/2/67225.pdf
_version_	1783735668592082944

Economic dispatch prediction for power generation using artificial neural networks / Ahmad Radzi Sabtu

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