An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system
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| Language: | English |
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Institute of Electrical and Electronics Engineers (IEEE)
2011
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| Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/17120 |
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| Institution: | Universiti Malaysia Perlis |
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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 |
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| 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 |