Cover Image

Transmission loss allocation in deregulated power system using the hybrid genetic algorithm-support vector machine technique

Link to publisher's homepage at http://www.cyberjournals.com

Saved in:
Bibliographic Details
Main Authors: M. W, Mustafa, Mohd Herwan, Sulaiman, H., Shareef, S. N., Abd. Khalid
Other Authors: wazir@fke.utm.my
Format: Article
Language:English
Published: Cyber Journals 2011
Subjects:
Deregulation
Genetic algorithm
Proportional sharing method
Support vector machine
Transmission loss allocation
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/13153
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-13153
record_format dspace
spelling my.unimap-131532011-07-14T02:50:56Z Transmission loss allocation in deregulated power system using the hybrid genetic algorithm-support vector machine technique M. W, Mustafa Mohd Herwan, Sulaiman H., Shareef S. N., Abd. Khalid wazir@fke.utm.my nizam@fke.utm.my mherwan@unimap.edu.my Deregulation Genetic algorithm Proportional sharing method Support vector machine Transmission loss allocation Link to publisher's homepage at http://www.cyberjournals.com This paper proposes a new method to trace the transmission loss in deregulated power system by incorporating the Genetic Algorithm (GA) and Least Squares Support Vector Machine (LS-SVM). The idea is to use GA to find the optimal values of hyper-parameters of LS-SVM and adopts a supervised learning approach to train the LS-SVM model. The proportional sharing method (PSM) is proposed to trace the transmission loss at each transmission line which is then utilized as a teacher in the proposed hybrid technique called GA-SVM method. Based on load profile as inputs and PSM output for transmission loss allocation, the GA-SVM model is expected to learn which generators are responsible for transmission losses. In this paper, 4-bus system and IEEE 14-bus system are used to show the effectiveness of the proposed method. 2011-07-14T02:49:01Z 2011-07-14T02:49:01Z 2011-01 Article M. W Mustafa, Mohd Herwan Sulaiman, H. Shareef, S. N. Abd. Khalid, Journal of Selected Areas in Renewable and Sustainable Energy (JRSE), 2011, pages 10-19 1925-2676 http://www.cyberjournals.com/Papers/Jan2011/11.pdf http://hdl.handle.net/123456789/13153 en Cyber Journals
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 Deregulation
Genetic algorithm
Proportional sharing method
Support vector machine
Transmission loss allocation
spellingShingle Deregulation
Genetic algorithm
Proportional sharing method
Support vector machine
Transmission loss allocation
M. W, Mustafa
Mohd Herwan, Sulaiman
H., Shareef
S. N., Abd. Khalid
Transmission loss allocation in deregulated power system using the hybrid genetic algorithm-support vector machine technique
description Link to publisher's homepage at http://www.cyberjournals.com
author2 wazir@fke.utm.my
author_facet wazir@fke.utm.my
M. W, Mustafa
Mohd Herwan, Sulaiman
H., Shareef
S. N., Abd. Khalid
format Article
author M. W, Mustafa
Mohd Herwan, Sulaiman
H., Shareef
S. N., Abd. Khalid
author_sort M. W, Mustafa
title Transmission loss allocation in deregulated power system using the hybrid genetic algorithm-support vector machine technique
title_short Transmission loss allocation in deregulated power system using the hybrid genetic algorithm-support vector machine technique
title_full Transmission loss allocation in deregulated power system using the hybrid genetic algorithm-support vector machine technique
title_fullStr Transmission loss allocation in deregulated power system using the hybrid genetic algorithm-support vector machine technique
title_full_unstemmed Transmission loss allocation in deregulated power system using the hybrid genetic algorithm-support vector machine technique
title_sort transmission loss allocation in deregulated power system using the hybrid genetic algorithm-support vector machine technique
publisher Cyber Journals
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/13153
_version_ 1643790302732877824
score 13.222552

Similar Items