Cover Image

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

Link to publisher's homepage at http://ieeexplore.ieee.org/

Saved in:
Bibliographic Details
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
Tags: Add Tag
No Tags, Be the first to tag this record!
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
score 13.222552

Similar Items