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

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

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 lear...

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Bibliographic Details
Main Authors: M. W., Mustafa, H., Shareef, M. H., Sulaiman, S. N., Abd. Khalid, S. R., Abd. Rahim, Omar, Aliman
Format: Conference or Workshop Item
Language:English
Published: IEEE 2011
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/26118/
http://umpir.ump.edu.my/id/eprint/26118/
http://umpir.ump.edu.my/id/eprint/26118/1/An%20application%20of%20genetic%20algorithm%20and%20least%20squares%20support%20vector%20machine.pdf
id ump-26118
recordtype eprints
spelling ump-261182019-10-16T08:07:36Z http://umpir.ump.edu.my/id/eprint/26118/ An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system M. W., Mustafa H., Shareef M. H., Sulaiman S. N., Abd. Khalid S. R., Abd. Rahim Omar, Aliman TK Electrical engineering. Electronics Nuclear engineering 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. IEEE 2011 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26118/1/An%20application%20of%20genetic%20algorithm%20and%20least%20squares%20support%20vector%20machine.pdf M. W., Mustafa and H., Shareef and M. H., Sulaiman and S. N., Abd. Khalid and S. R., Abd. Rahim and Omar, Aliman (2011) An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system. In: 5th International Power Engineering and Optimization Conference (PEOCO 2011), 6-7 June 2011 , Shah Alam, Selangor. pp. 375-380.. https://doi.org/10.1109/PEOCO.2011.5970400
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
M. W., Mustafa
H., Shareef
M. H., Sulaiman
S. N., Abd. Khalid
S. R., Abd. Rahim
Omar, Aliman
An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system
description 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.
format Conference or Workshop Item
author M. W., Mustafa
H., Shareef
M. H., Sulaiman
S. N., Abd. Khalid
S. R., Abd. Rahim
Omar, Aliman
author_facet M. W., Mustafa
H., Shareef
M. H., Sulaiman
S. N., Abd. Khalid
S. R., Abd. Rahim
Omar, Aliman
author_sort M. W., Mustafa
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 IEEE
publishDate 2011
url http://umpir.ump.edu.my/id/eprint/26118/
http://umpir.ump.edu.my/id/eprint/26118/
http://umpir.ump.edu.my/id/eprint/26118/1/An%20application%20of%20genetic%20algorithm%20and%20least%20squares%20support%20vector%20machine.pdf
first_indexed 2023-09-18T22:40:29Z
last_indexed 2023-09-18T22:40:29Z
_version_ 1777416881180770304

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