Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm

This paper attempts to trace the real power transfer of individual generators to loads in pool based power system by incorporating the hybridization of Least Squares Support Vector Machine (LS-SVM) with Continuous Genetic Algorithm (CGA)- CGA-LSSVM. The idea is to use CGA to find the optimal values...

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Main Authors:	Mohd Wazir, Mustafa, Saifulnizam, Abd.Khalid, Mohd Herwan, Sulaiman, Siti Rafidah, Abd Rahim, Omar, Aliman, Shareef, Hussain
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/26218/ http://umpir.ump.edu.my/id/eprint/26218/ http://umpir.ump.edu.my/id/eprint/26218/1/Tracing%20the%20real%20power%20transfer%20of%20individual%20generators%20to%20loads%20using%20least%20squares%20.pdf

id	ump-26218
recordtype	eprints
spelling	ump-262182020-02-10T05:57:23Z http://umpir.ump.edu.my/id/eprint/26218/ Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm Mohd Wazir, Mustafa Saifulnizam, Abd.Khalid Mohd Herwan, Sulaiman Siti Rafidah, Abd Rahim Omar, Aliman Shareef, Hussain TK Electrical engineering. Electronics Nuclear engineering This paper attempts to trace the real power transfer of individual generators to loads in pool based power system by incorporating the hybridization of Least Squares Support Vector Machine (LS-SVM) with Continuous Genetic Algorithm (CGA)- CGA-LSSVM. The idea is to use CGA to find the optimal values of regularization parameter, γ and Kernel RBF parameter, σ 2 , and adapt a supervised learning approach to train the LS-SVM model. The technique that uses proportional sharing principle (PSP) is utilized as a teacher. Based on converged load flow and followed by PSP technique for power tracing procedure, the description of inputs and outputs of the training data are created. The CGA-LSSVM will learn to identify which generators are supplying to which loads. In this paper, the 25-bus equivalent system of southern Malaysia is used to illustrate the effectiveness of the CGA-LSSVM technique compared to that of the PSP technique. IEEE 2011 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26218/1/Tracing%20the%20real%20power%20transfer%20of%20individual%20generators%20to%20loads%20using%20least%20squares%20.pdf Mohd Wazir, Mustafa and Saifulnizam, Abd.Khalid and Mohd Herwan, Sulaiman and Siti Rafidah, Abd Rahim and Omar, Aliman and Shareef, Hussain (2011) Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm. In: International Conference on Electrical, Control and Computer Engineering 2011 (InECCE 2011)., 21-22 June 2011 , Hyatt Regency, Kuantan, Pahang, Malaysia. pp. 76-81.. ISBN 978-1-61284-229-5 https://doi.org/10.1109/INECCE.2011.5953853
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 Mohd Wazir, Mustafa Saifulnizam, Abd.Khalid Mohd Herwan, Sulaiman Siti Rafidah, Abd Rahim Omar, Aliman Shareef, Hussain Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm
description	This paper attempts to trace the real power transfer of individual generators to loads in pool based power system by incorporating the hybridization of Least Squares Support Vector Machine (LS-SVM) with Continuous Genetic Algorithm (CGA)- CGA-LSSVM. The idea is to use CGA to find the optimal values of regularization parameter, γ and Kernel RBF parameter, σ 2 , and adapt a supervised learning approach to train the LS-SVM model. The technique that uses proportional sharing principle (PSP) is utilized as a teacher. Based on converged load flow and followed by PSP technique for power tracing procedure, the description of inputs and outputs of the training data are created. The CGA-LSSVM will learn to identify which generators are supplying to which loads. In this paper, the 25-bus equivalent system of southern Malaysia is used to illustrate the effectiveness of the CGA-LSSVM technique compared to that of the PSP technique.
format	Conference or Workshop Item
author	Mohd Wazir, Mustafa Saifulnizam, Abd.Khalid Mohd Herwan, Sulaiman Siti Rafidah, Abd Rahim Omar, Aliman Shareef, Hussain
author_facet	Mohd Wazir, Mustafa Saifulnizam, Abd.Khalid Mohd Herwan, Sulaiman Siti Rafidah, Abd Rahim Omar, Aliman Shareef, Hussain
author_sort	Mohd Wazir, Mustafa
title	Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm
title_short	Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm
title_full	Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm
title_fullStr	Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm
title_full_unstemmed	Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm
title_sort	tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm
publisher	IEEE
publishDate	2011
url	http://umpir.ump.edu.my/id/eprint/26218/ http://umpir.ump.edu.my/id/eprint/26218/ http://umpir.ump.edu.my/id/eprint/26218/1/Tracing%20the%20real%20power%20transfer%20of%20individual%20generators%20to%20loads%20using%20least%20squares%20.pdf
first_indexed	2023-09-18T22:40:42Z
last_indexed	2023-09-18T22:40:42Z
_version_	1777416894751440896

Tracing the real power transfer of individual generators to loads using least squares support vector machine with continuous genetic algorithm

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