An improved genetic algorithm and graph theory based method for optimal sectionalizer switch placement in distribution networks with DG
In this paper a new graph-theory and improved genetic algorithm based practical method is employed to solve the optimal sectionalizer switch placement problem. The proposed method determines the best locations of sectionalizer switching devices in distribution networks considering the effects of pre...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers ( IEEE )
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/38295 |
| _version_ | 1848755281592320000 |
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| author | Vahidnia, A. Ledwich, G. Ghosh, Arindam Palmer, E. |
| author2 | - |
| author_facet | - Vahidnia, A. Ledwich, G. Ghosh, Arindam Palmer, E. |
| author_sort | Vahidnia, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper a new graph-theory and improved genetic algorithm based practical method is employed to solve the optimal sectionalizer switch placement problem. The proposed method determines the best locations of sectionalizer switching devices in distribution networks considering the effects of presence of distributed generation (DG) in fitness functions and other optimization constraints, providing the maximum number of costumers to be supplied by distributed generation sources in islanded distribution systems after possible faults. The proposed method is simulated and tested on several distribution test systems in both cases of with DG and non DG situations. The results of the simulations validate the proposed method for switch placement of the distribution network in the presence of distributed generation. |
| first_indexed | 2025-11-14T08:53:49Z |
| format | Conference Paper |
| id | curtin-20.500.11937-38295 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:53:49Z |
| publishDate | 2011 |
| publisher | Institute of Electrical and Electronics Engineers ( IEEE ) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-382952017-02-28T01:38:08Z An improved genetic algorithm and graph theory based method for optimal sectionalizer switch placement in distribution networks with DG Vahidnia, A. Ledwich, G. Ghosh, Arindam Palmer, E. - In this paper a new graph-theory and improved genetic algorithm based practical method is employed to solve the optimal sectionalizer switch placement problem. The proposed method determines the best locations of sectionalizer switching devices in distribution networks considering the effects of presence of distributed generation (DG) in fitness functions and other optimization constraints, providing the maximum number of costumers to be supplied by distributed generation sources in islanded distribution systems after possible faults. The proposed method is simulated and tested on several distribution test systems in both cases of with DG and non DG situations. The results of the simulations validate the proposed method for switch placement of the distribution network in the presence of distributed generation. 2011 Conference Paper http://hdl.handle.net/20.500.11937/38295 Institute of Electrical and Electronics Engineers ( IEEE ) restricted |
| spellingShingle | Vahidnia, A. Ledwich, G. Ghosh, Arindam Palmer, E. An improved genetic algorithm and graph theory based method for optimal sectionalizer switch placement in distribution networks with DG |
| title | An improved genetic algorithm and graph theory based method for optimal sectionalizer switch placement in distribution networks with DG |
| title_full | An improved genetic algorithm and graph theory based method for optimal sectionalizer switch placement in distribution networks with DG |
| title_fullStr | An improved genetic algorithm and graph theory based method for optimal sectionalizer switch placement in distribution networks with DG |
| title_full_unstemmed | An improved genetic algorithm and graph theory based method for optimal sectionalizer switch placement in distribution networks with DG |
| title_short | An improved genetic algorithm and graph theory based method for optimal sectionalizer switch placement in distribution networks with DG |
| title_sort | improved genetic algorithm and graph theory based method for optimal sectionalizer switch placement in distribution networks with dg |
| url | http://hdl.handle.net/20.500.11937/38295 |