|
iRepository at Perpustakaan UniMAP >
UNIVERSITY LIBRARY >
Conference Papers >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/17120
|
| Title: | An application of genetic algorithm and least squares support vector machine for tracing the transmission loss in deregulated power system |
| Authors: | Mohd. Herwan, Sulaiman
Siti Rafidah, Abdul Rahim
Mohd Wazir, Mustafa
Hussain, Shareef, Dr.
Saifulnizam, Abd. Khalid, Dr.
Omar, Aliman |
| E-mail: | wazir@fke.utm.my |
| Keywords: | Deregulation
Genetic algorithm
Proportional sharing method
Support vector machine
Transmission loss allocation |
| Issue Date: | 6-Jun-2011 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | p. 375-380 |
| Series/Report no.: | Proceedings of the 5th International Power Engineering and Optimization Conference (PEOCO 2011) |
| Abstract: | 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. |
| Description: | Link to publisher's homepage at http://ieeexplore.ieee.org/ |
| URI: | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5970400
http://hdl.handle.net/123456789/17120 |
| ISBN: | 978-1-4577-0354-6 |
| Appears in Collections: | Conference Papers
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|
