A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems
This paper presents a fuzzy genetic approach for reconfiguration of radial distribution systems (RDS) so as to maximize the voltage stability of the network for a specific set of loads. The network reconfiguration involves a mechanism for selection of the best set of branches to be opened, one from...
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PERGAMON-ELSEVIER SCIENCE LTD
2006
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| Online Access: | http://shdl.mmu.edu.my/3268/ |
| _version_ | 1848790280995602432 |
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| author | SAHOO, N PRASAD, K |
| author_facet | SAHOO, N PRASAD, K |
| author_sort | SAHOO, N |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | This paper presents a fuzzy genetic approach for reconfiguration of radial distribution systems (RDS) so as to maximize the voltage stability of the network for a specific set of loads. The network reconfiguration involves a mechanism for selection of the best set of branches to be opened, one from each loop, such that the reconfigured RDS possesses desired performance characteristics. This discrete solution space is better handled by the proposed scheme, which maximizes a suitable optimizing function (computed using two different approaches). In the first approach, this function is chosen as the average of a voltage stability index of all the buses in the RDS, while in the second approach, the complete RDS is reduced to a two bus equivalent system and the optimizing function is the voltage stability index of this reduced two bus system. The fuzzy genetic algorithm uses a suitable coding and decoding scheme for maintaining the radial nature of the network at every stage of genetic evolution, and it also uses a fuzzy rule based mutation controller for efficient search of the solution space. This method, tested on 69 bus and 33 bus RDSs, shows promising results for the both approaches. It is also observed that the network losses are reduced when the voltage stability is enhanced by the network reconfiguration. (c) 2006 Elsevier Ltd. All rights reserved. |
| first_indexed | 2025-11-14T18:10:07Z |
| format | Article |
| id | mmu-3268 |
| institution | Multimedia University |
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| last_indexed | 2025-11-14T18:10:07Z |
| publishDate | 2006 |
| publisher | PERGAMON-ELSEVIER SCIENCE LTD |
| recordtype | eprints |
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| spelling | mmu-32682011-10-14T07:25:41Z http://shdl.mmu.edu.my/3268/ A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems SAHOO, N PRASAD, K T Technology (General) QC Physics This paper presents a fuzzy genetic approach for reconfiguration of radial distribution systems (RDS) so as to maximize the voltage stability of the network for a specific set of loads. The network reconfiguration involves a mechanism for selection of the best set of branches to be opened, one from each loop, such that the reconfigured RDS possesses desired performance characteristics. This discrete solution space is better handled by the proposed scheme, which maximizes a suitable optimizing function (computed using two different approaches). In the first approach, this function is chosen as the average of a voltage stability index of all the buses in the RDS, while in the second approach, the complete RDS is reduced to a two bus equivalent system and the optimizing function is the voltage stability index of this reduced two bus system. The fuzzy genetic algorithm uses a suitable coding and decoding scheme for maintaining the radial nature of the network at every stage of genetic evolution, and it also uses a fuzzy rule based mutation controller for efficient search of the solution space. This method, tested on 69 bus and 33 bus RDSs, shows promising results for the both approaches. It is also observed that the network losses are reduced when the voltage stability is enhanced by the network reconfiguration. (c) 2006 Elsevier Ltd. All rights reserved. PERGAMON-ELSEVIER SCIENCE LTD 2006-11 Article NonPeerReviewed SAHOO, N and PRASAD, K (2006) A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems. Energy Conversion and Management, 47 (18-19). pp. 3288-3306. ISSN 01968904 http://dx.doi.org/10.1016/j.enconman.2006.01.004 doi:10.1016/j.enconman.2006.01.004 doi:10.1016/j.enconman.2006.01.004 |
| spellingShingle | T Technology (General) QC Physics SAHOO, N PRASAD, K A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems |
| title | A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems |
| title_full | A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems |
| title_fullStr | A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems |
| title_full_unstemmed | A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems |
| title_short | A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems |
| title_sort | fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems |
| topic | T Technology (General) QC Physics |
| url | http://shdl.mmu.edu.my/3268/ http://shdl.mmu.edu.my/3268/ http://shdl.mmu.edu.my/3268/ |