Shamsuddin, Nur Hazahsha and Omar, Nu Farhana and Sulaima, Mohamad Fani and Jaafar, Hazriq Izzuan and Abdul Kadir, Aida Fazliana (2014) The Distribution Network Reconfiguration Improved Performance of Genetic Algorithm Considering Power Losses and Voltage Profile. International Journal of Engineering and Technology (IJET), 6 (2). pp. 1247-1258. ISSN 0975-4024
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Abstract
Power losses issues persevered over few decades in the high demand utilization of energy electricity in developing countries. Thus, the radial structure of distribution network configuration is extensively used in high populated areas to ensure continuity of power supply in the event of fault. This paper proposes heuristic Genetic Algorithm known as SIGA (Selection Improvement in Genetic Algorithm) in consideration of genetic operator probabilities likewise the progression of switch adjustment in Distribution Network Reconfiguration (DNR) while satisfying the parameters constraints. The SIGA algorithm was embodied throughout the process in IEEE 33-bus distribution system in selection of five tie switches. As a consequence, the power losses were ranked in accordance to the minimum values and voltage profile improvement obtainable by the proposed algorithm. The results show that the SIGA performs better than GA by giving the minimized value of power losses.
Item Type: | Article |
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Electrical Engineering > Department of Industrial Power |
Depositing User: | MOHAMAD FANI SULAIMA |
Date Deposited: | 16 May 2014 03:28 |
Last Modified: | 28 May 2015 04:25 |
URI: | http://eprints.utem.edu.my/id/eprint/12442 |
Statistic Details: | View Download Statistic |
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