Reliability driven reconfiguration of rural power distribution systems
Chakrabarti, Saikat and Ledwich, Gerard and Ghosh, Arindam (2009) Reliability driven reconfiguration of rural power distribution systems. In: Proceedings of 3rd International Conference on Power Systems, 27-29 December 2009, Indian Institute of Technology, Kharagpur, India.
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Official URL: http://conf05.iitkgp.ac.in/icps09/
Abstract
This paper presents a reliability-based reconfiguration methodology for power distribution systems. Probabilistic reliability models of the system components are considered and Monte Carlo method is used while evaluating the reliability of the distribution system. The reconfiguration is aimed at maximizing the reliability of the power supplied to the customers. A binary particle swarm optimization (BPSO) algorithm is used as a tool to determine the optimal configuration of the sectionalizing and tie switches in the system. The proposed methodology is applied on a modified IEEE 13-bus distribution system.
| ID Code: | 30124 |
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| Item Type: | Conference Paper |
| Additional URLs: | |
| Keywords: | Distribution system, Monte Carlo., particle swarm optimization, reconfiguration, reliability |
| ISBN: | 9781424443314 |
| Subjects: | Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Power and Energy Systems Engineering (excl. Renewable Power) (090607) |
| Divisions: | Schools > School of Engineering Systems QUT Faculties and Divisions > Faculty of Built Environment and Engineering |
| Copyright Owner: | Copyright 2009 IEEE |
| Copyright Statement: | Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Deposited On: | 01 Feb 2010 11:52 |
| Last Modified: | 02 Feb 2010 01:56 |
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