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An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system

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Main Authors: Mohd. Herwan, Sulaiman, Siti Rafidah, Abdul Rahim, Mohd Wazir, Mustafa, Hussain, Shareef, Dr., Saifulnizam, Abd. Khalid, Dr., Omar, Aliman
Other Authors: wazir@fke.utm.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2011
Subjects:
Deregulation
Genetic algorithm
Proportional sharing method
Support vector machine
Transmission loss allocation
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/17120
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spelling my.unimap-171202011-12-09T04:05:20Z An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system Mohd. Herwan, Sulaiman Siti Rafidah, Abdul Rahim Mohd Wazir, Mustafa Hussain, Shareef, Dr. Saifulnizam, Abd. Khalid, Dr. Omar, Aliman wazir@fke.utm.my Deregulation Genetic algorithm Proportional sharing method Support vector machine Transmission loss allocation Link to publisher's homepage at http://ieeexplore.ieee.org/ This paper proposes a new method to trace the transmission loss in deregulated power system by applying Genetic Algorithm (GA) and Least Squares Support Vector Machine (LS-SVM). The idea is to use GA as an optimizer to find the optimal values of hyper-parameters of LS-SVM and adopt a supervised learning approach to train the LS-SVM model. The well known proportional sharing method (PSM) is used to trace the 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, IEEE 14-bus system is used to show the effectiveness of the proposed method. 2011-12-09T04:05:20Z 2011-12-09T04:05:20Z 2011-06-06 Working Paper p. 375-380 978-1-4577-0354-6 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5970400 http://hdl.handle.net/123456789/17120 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 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
Mohd. Herwan, Sulaiman
Siti Rafidah, Abdul Rahim
Mohd Wazir, Mustafa
Hussain, Shareef, Dr.
Saifulnizam, Abd. Khalid, Dr.
Omar, Aliman
An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 wazir@fke.utm.my
author_facet wazir@fke.utm.my
Mohd. Herwan, Sulaiman
Siti Rafidah, Abdul Rahim
Mohd Wazir, Mustafa
Hussain, Shareef, Dr.
Saifulnizam, Abd. Khalid, Dr.
Omar, Aliman
format Working Paper
author Mohd. Herwan, Sulaiman
Siti Rafidah, Abdul Rahim
Mohd Wazir, Mustafa
Hussain, Shareef, Dr.
Saifulnizam, Abd. Khalid, Dr.
Omar, Aliman
author_sort Mohd. Herwan, Sulaiman
title An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system
title_short An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system
title_full An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system
title_fullStr An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system
title_full_unstemmed An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system
title_sort application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/17120
_version_ 1643791482800308224
score 13.222552

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