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Title: Transmission loss allocation in deregulated power system using the hybrid genetic algorithm-support vector machine technique
Authors: M. W, Mustafa
Mohd Herwan, Sulaiman
H., Shareef
S. N., Abd. Khalid
???metadata.dc.contributor.url???: wazir@fke.utm.my
nizam@fke.utm.my
mherwan@unimap.edu.my
Keywords: Deregulation;Genetic algorithm;Proportional sharing method;Support vector machine;Transmission loss allocation
Issue Date: Jan-2011
Publisher: Cyber Journals
Citation: M. W Mustafa, Mohd Herwan Sulaiman, H. Shareef, S. N. Abd. Khalid, Journal of Selected Areas in Renewable and Sustainable Energy (JRSE), 2011, pages 10-19
Abstract: This paper proposes a new method to trace the transmission loss in deregulated power system by incorporating the Genetic Algorithm (GA) and Least Squares Support Vector Machine (LS-SVM). The idea is to use GA to find the optimal values of hyper-parameters of LS-SVM and adopts a supervised learning approach to train the LS-SVM model. The proportional sharing method (PSM) is proposed to trace the transmission 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, 4-bus system and IEEE 14-bus system are used to show the effectiveness of the proposed method.
Description: Link to publisher's homepage at http://www.cyberjournals.com
URI: http://www.cyberjournals.com/Papers/Jan2011/11.pdf
http://hdl.handle.net/123456789/13153
ISSN: 1925-2676
Appears in Collections:School of Electrical Systems Engineering (Articles)

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