Abstract
This paper presents a new approach to determine simultaneous available transfer capability (ATC) for two transfer cases. Simultaneous determination of power transfer for two or more transfer cases involved intricate ATC calculations that yield to a lengthy computational time. Therefore, the Pareto based
evolutionary programming (EP) is used to overcome the intricacy in calculating the optimum value of ATC with a fast computational time. The multi-objective function for the Pareto based EP technique is the ATC for two transfer cases and power flow limitation is considered as the fitness function of EP. The effectiveness of Pareto based EP technique in determining the ATCs are validated based on a case study of IEEE 24 bus system. The ATC is determined for the transfer cases from selling areas 1 and 2 to a buying area 3 and also from selling areas 1 and 3 to a buying area 2.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Othman, M. Murtadha mamat505my@yahoo.com.my Musirin, Ismail UNSPECIFIED Ilias, Sarizan UNSPECIFIED Mohamed, Azah UNSPECIFIED Hussain, Aini UNSPECIFIED |
Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electric power distribution. Electric power transmission |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering |
Journal or Publication Title: | Journal of Electrical and Electronic Systems and Research (JEESR) |
UiTM Journal Collections: | UiTM Journal > Journal of Electrical and Electronic Systems Research (JEESR) |
ISSN: | 1985-5389 |
Volume: | 1 |
Page Range: | pp. 79-87 |
Keywords: | Available transfer capability, Pareto based evolutionary programming technique, multi-objective function |
Date: | August 2008 |
URI: | https://ir.uitm.edu.my/id/eprint/61852 |