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An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system

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Main Authors: Mohd Herwan, Sulaiman,, Mohd Wazir, Mustafa, Dr., Hussain, Shareef, Assoc. Dr., Saifulnizam, Abd. Khalid, Dr.
Other Authors: mherwan@unimap.edu.my
Format: Article
Language:English
Published: Elsevier Ltd. 2014
Subjects:
Artificial bee colony algorithm
Least squares support vector machine
Superposition method
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/31841
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spelling my.unimap-318412014-02-10T08:53:42Z An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system Mohd Herwan, Sulaiman, Mohd Wazir, Mustafa, Dr. Hussain, Shareef, Assoc. Dr. Saifulnizam, Abd. Khalid, Dr. mherwan@unimap.edu.my wazir@fke.utm.my shareef@eng.ukm.my saifulnizam@utm.my Artificial bee colony algorithm Least squares support vector machine Superposition method Link to publisher’s homepage at http://www.elsevier.com/ This paper presents a new method for real and reactive power tracing in a deregulated power system by introducing the hybrid artificial bee colony (ABC) algorithm and least squares support vector machine (LS-SVM), namely as ABC-SVM. The idea is to use ABC algorithm to obtain the optimal values of regularization parameter, γ and Kernel RBF parameter, σ 2, which are embedded in LS-SVM toolbox and adopt a supervised learning approach to train the LS-SVM model. The technique that uses Superposition method is utilized as a teacher. Based on power flow solution and power tracing procedure by Superposition method, the description of input-output for training and testing data are created. The generators' contributions to real and reactive loads in the test system are expected can be traced accurately by proposed ABC-SVM model. In this paper, IEEE-14 bus system is used to illustrate the effectiveness of the proposed ABC-SVM model compared to that of Superposition method. The comparison with the cross-validation (CV) technique and other hybrid technique to obtain the hyper-parameters also has been presented in this paper. 2014-02-10T08:53:42Z 2014-02-10T08:53:42Z 2012-05 Article International Journal of Electrical Power and Energy Systems, vol. 37(1), 2012, pages 67-77 0142-0615 http://www.sciencedirect.com/science/article/pii/S0142061511002900 http://dspace.unimap.edu.my:80/dspace/handle/123456789/31841 en Elsevier Ltd.
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 Artificial bee colony algorithm
Least squares support vector machine
Superposition method
spellingShingle Artificial bee colony algorithm
Least squares support vector machine
Superposition method
Mohd Herwan, Sulaiman,
Mohd Wazir, Mustafa, Dr.
Hussain, Shareef, Assoc. Dr.
Saifulnizam, Abd. Khalid, Dr.
An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system
description Link to publisher’s homepage at http://www.elsevier.com/
author2 mherwan@unimap.edu.my
author_facet mherwan@unimap.edu.my
Mohd Herwan, Sulaiman,
Mohd Wazir, Mustafa, Dr.
Hussain, Shareef, Assoc. Dr.
Saifulnizam, Abd. Khalid, Dr.
format Article
author Mohd Herwan, Sulaiman,
Mohd Wazir, Mustafa, Dr.
Hussain, Shareef, Assoc. Dr.
Saifulnizam, Abd. Khalid, Dr.
author_sort Mohd Herwan, Sulaiman,
title An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system
title_short An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system
title_full An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system
title_fullStr An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system
title_full_unstemmed An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system
title_sort application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system
publisher Elsevier Ltd.
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/31841
_version_ 1643796699999633408
score 13.214268

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