|
iRepository at Perpustakaan UniMAP >
JOURNAL ARTICLES >
School of Electrical Systems Engineering (Articles) >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/13153
|
| 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 |
| E-mail: | 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)
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|
