Hopfield neural network computation as an alternative solution for solving economic dispatch in power system

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Main Authors:	Melaty, Amirruddin, Abdullah Asuhaimi, Mohd Zin
Other Authors:	melaty@unimap.edu.my
Format:	Working Paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers (IEEE) 2011
Subjects:	Economic Dispatch (ED) Hopfield Neural Network (HNN)
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/14819
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-14819
record_format	dspace
spelling	my.unimap-148192011-10-23T14:45:04Z Hopfield neural network computation as an alternative solution for solving economic dispatch in power system Melaty, Amirruddin Abdullah Asuhaimi, Mohd Zin melaty@unimap.edu.my Economic Dispatch (ED) Hopfield Neural Network (HNN) Link to publisher's homepage at http://ieeexplore.ieee.org/ In modern industrialized society, an Economic Dispatch (ED) of power generating units has always been occupied an important position in the electric power industry. This paper presents a Hopfield Neural Network (HNN) computation method to solve ED problem in power systems. HNN computation is expected to be reliable since HNN is essential for its progress. The objective of this paper is to describe how a new method to solve the ED in power system is developed since HNN is the faster alternative method in predicting problem in ED. A new mapping process is formulated and how to obtain the weighting factors is also described in this paper. Then, a simulation algorithm is described to solve the dynamic equation of the HNN. To solve the ED problem, the power mismatch, total fuel cost and the transmission line losses along with their associated weighting factors are defined. The results obtained gives less computational time compared to the Lambda-iteration method. Furthermore, the results also indicate that the HNN computation performs significantly better than conventional method, Lambda-iteration method. 2011-10-23T14:45:04Z 2011-10-23T14:45:04Z 2011-06-06 Working Paper p. 346-351 978-1-4577-0354-6 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5970411 http://hdl.handle.net/123456789/14819 en Proceedings of the 5th International Power Engineering and Optimization Conference (PEOCO 2011) Institute of Electrical and Electronics Engineers (IEEE)
institution	Universiti Malaysia Perlis
building	UniMAP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Perlis
content_source	UniMAP Library Digital Repository
url_provider	http://dspace.unimap.edu.my/
language	English
topic	Economic Dispatch (ED) Hopfield Neural Network (HNN)
spellingShingle	Economic Dispatch (ED) Hopfield Neural Network (HNN) Melaty, Amirruddin Abdullah Asuhaimi, Mohd Zin Hopfield neural network computation as an alternative solution for solving economic dispatch in power system
description	Link to publisher's homepage at http://ieeexplore.ieee.org/
author2	melaty@unimap.edu.my
author_facet	melaty@unimap.edu.my Melaty, Amirruddin Abdullah Asuhaimi, Mohd Zin
format	Working Paper
author	Melaty, Amirruddin Abdullah Asuhaimi, Mohd Zin
author_sort	Melaty, Amirruddin
title	Hopfield neural network computation as an alternative solution for solving economic dispatch in power system
title_short	Hopfield neural network computation as an alternative solution for solving economic dispatch in power system
title_full	Hopfield neural network computation as an alternative solution for solving economic dispatch in power system
title_fullStr	Hopfield neural network computation as an alternative solution for solving economic dispatch in power system
title_full_unstemmed	Hopfield neural network computation as an alternative solution for solving economic dispatch in power system
title_sort	hopfield neural network computation as an alternative solution for solving economic dispatch in power system
publisher	Institute of Electrical and Electronics Engineers (IEEE)
publishDate	2011
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/14819
_version_	1643791256059379712

Hopfield neural network computation as an alternative solution for solving economic dispatch in power system

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