Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani

This project presents a methodology for solving optimal economic dispatch by using back propagation neural networks. The optimal power flow for each generating units must have total fuel cost at minimum point. For this problem, the total load is varied and the losses for generating units are ignored...

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Main Author: Mat Rani, Siti Nor
Format: Thesis
Language:English
Published: 2012
Online Access:https://ir.uitm.edu.my/id/eprint/85249/1/85249.PDF
https://ir.uitm.edu.my/id/eprint/85249/
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spelling my.uitm.ir.852492024-02-06T04:29:05Z https://ir.uitm.edu.my/id/eprint/85249/ Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani Mat Rani, Siti Nor This project presents a methodology for solving optimal economic dispatch by using back propagation neural networks. The optimal power flow for each generating units must have total fuel cost at minimum point. For this problem, the total load is varied and the losses for generating units are ignored. There are many conventional method to solve economic dispatch such as Lagrange multiplier method, Lambda iteration method and Newton Raphson method. This paper present the back-propagation neural networks model to carry out instead the conventional Lambda iteration method. The proposed technique was tested on single bus system. 2012 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/85249/1/85249.PDF Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani. (2012) 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
description This project presents a methodology for solving optimal economic dispatch by using back propagation neural networks. The optimal power flow for each generating units must have total fuel cost at minimum point. For this problem, the total load is varied and the losses for generating units are ignored. There are many conventional method to solve economic dispatch such as Lagrange multiplier method, Lambda iteration method and Newton Raphson method. This paper present the back-propagation neural networks model to carry out instead the conventional Lambda iteration method. The proposed technique was tested on single bus system.
format Thesis
author Mat Rani, Siti Nor
spellingShingle Mat Rani, Siti Nor
Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani
author_facet Mat Rani, Siti Nor
author_sort Mat Rani, Siti Nor
title Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani
title_short Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani
title_full Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani
title_fullStr Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani
title_full_unstemmed Optimal economic dispatch using artificial neural network / Siti Nor Mat Rani
title_sort optimal economic dispatch using artificial neural network / siti nor mat rani
publishDate 2012
url https://ir.uitm.edu.my/id/eprint/85249/1/85249.PDF
https://ir.uitm.edu.my/id/eprint/85249/
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