An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system
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 re...
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| Format: | Article |
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2012
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| _version_ | 1796858981892751360 |
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| author | Sulaiman, Mohd. Herwan Mustafa, Mohd. Wazir Shareef, Hussain Abd. Khalid, Saiful Nizam |
| author_facet | Sulaiman, Mohd. Herwan Mustafa, Mohd. Wazir Shareef, Hussain Abd. Khalid, Saiful Nizam |
| author_sort | Sulaiman, Mohd. Herwan |
| collection | ePrints |
| description | 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, σ2, 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. |
| first_indexed | 2024-03-05T19:20:26Z |
| format | Article |
| id | utm.eprints-46579 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:20:26Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | utm.eprints-465792017-09-14T07:00:36Z http://eprints.utm.my/46579/ An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system Sulaiman, Mohd. Herwan Mustafa, Mohd. Wazir Shareef, Hussain Abd. Khalid, Saiful Nizam TK Electrical engineering. Electronics Nuclear engineering 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, σ2, 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. 2012 Article PeerReviewed Sulaiman, Mohd. Herwan and Mustafa, Mohd. Wazir and Shareef, Hussain and Abd. Khalid, Saiful Nizam (2012) An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system. International Journal Of Electrical Power & Energy Systems, 37 (1). pp. 67-77. ISSN 0142-0615 https://dx.doi.org/10.1016/j.ijepes.2011.12.007 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Sulaiman, Mohd. Herwan Mustafa, Mohd. Wazir Shareef, Hussain Abd. Khalid, Saiful Nizam An application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system |
| 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_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_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_sort | application of artificial bee colony algorithm with least squares support vector machine for real and reactive power tracing in deregulated power system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
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