Grey wolf optimisation algorithm for solving distribution network reconfiguration considering distributed generators simultaneously
This article represents an application of the grey wolf optimisation (GWO) algorithm to solve the most optimistic combinatorial problems for optimal distribution network reconfiguration (DNR) and allocation of distributed generators (DGs) in a system. In this work, a metaheuristics algorithm is util...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | International Journal of Sustainable Energy |
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| Online Access: | http://dx.doi.org/10.1080/14786451.2022.2134383 |
| _version_ | 1827813062685491200 |
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| author | Harish Kumar Pujari Mageshvaran Rudramoorthy |
| author_facet | Harish Kumar Pujari Mageshvaran Rudramoorthy |
| author_sort | Harish Kumar Pujari |
| collection | DOAJ |
| description | This article represents an application of the grey wolf optimisation (GWO) algorithm to solve the most optimistic combinatorial problems for optimal distribution network reconfiguration (DNR) and allocation of distributed generators (DGs) in a system. In this work, a metaheuristics algorithm is utilised to minimise the active power losses (APL) and enhance the voltage profile. Various scenarios were considered in this context to compare the performance of the proposed algorithm under voltage and current capacity constraints. Furthermore, a detailed validation via comparison of the results is being carried out with other methods from the exhaustive literature. The proposed algorithm reduces the APL by 63.13%, 56.19%, and 34.27% with DNR in IEEE 33, 69 and 118-bus systems. Similarly, APL reduction by 69.61%, 82.09%, and 36.08% with DNR considering DGs simultaneously. The results show that the proposed algorithm is an effective and promising method to solve problems similar to this work. |
| first_indexed | 2024-03-11T23:27:12Z |
| format | Article |
| id | doaj.art-042d9b7ef9a74b929b2891e4ec7d51bb |
| institution | Directory Open Access Journal |
| issn | 1478-6451 1478-646X |
| language | English |
| last_indexed | 2024-03-11T23:27:12Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Sustainable Energy |
| spelling | doaj.art-042d9b7ef9a74b929b2891e4ec7d51bb2023-09-20T10:45:14ZengTaylor & Francis GroupInternational Journal of Sustainable Energy1478-64511478-646X2022-12-0141112121214910.1080/14786451.2022.21343832134383Grey wolf optimisation algorithm for solving distribution network reconfiguration considering distributed generators simultaneouslyHarish Kumar Pujari0Mageshvaran Rudramoorthy1Vellore Institute of TechnologyVellore Institute of TechnologyThis article represents an application of the grey wolf optimisation (GWO) algorithm to solve the most optimistic combinatorial problems for optimal distribution network reconfiguration (DNR) and allocation of distributed generators (DGs) in a system. In this work, a metaheuristics algorithm is utilised to minimise the active power losses (APL) and enhance the voltage profile. Various scenarios were considered in this context to compare the performance of the proposed algorithm under voltage and current capacity constraints. Furthermore, a detailed validation via comparison of the results is being carried out with other methods from the exhaustive literature. The proposed algorithm reduces the APL by 63.13%, 56.19%, and 34.27% with DNR in IEEE 33, 69 and 118-bus systems. Similarly, APL reduction by 69.61%, 82.09%, and 36.08% with DNR considering DGs simultaneously. The results show that the proposed algorithm is an effective and promising method to solve problems similar to this work.http://dx.doi.org/10.1080/14786451.2022.2134383distributed generationsgrey wolf optimisation algorithmloss reductionvoltage profilenetwork reconfigurationradial distribution systems |
| spellingShingle | Harish Kumar Pujari Mageshvaran Rudramoorthy Grey wolf optimisation algorithm for solving distribution network reconfiguration considering distributed generators simultaneously International Journal of Sustainable Energy distributed generations grey wolf optimisation algorithm loss reduction voltage profile network reconfiguration radial distribution systems |
| title | Grey wolf optimisation algorithm for solving distribution network reconfiguration considering distributed generators simultaneously |
| title_full | Grey wolf optimisation algorithm for solving distribution network reconfiguration considering distributed generators simultaneously |
| title_fullStr | Grey wolf optimisation algorithm for solving distribution network reconfiguration considering distributed generators simultaneously |
| title_full_unstemmed | Grey wolf optimisation algorithm for solving distribution network reconfiguration considering distributed generators simultaneously |
| title_short | Grey wolf optimisation algorithm for solving distribution network reconfiguration considering distributed generators simultaneously |
| title_sort | grey wolf optimisation algorithm for solving distribution network reconfiguration considering distributed generators simultaneously |
| topic | distributed generations grey wolf optimisation algorithm loss reduction voltage profile network reconfiguration radial distribution systems |
| url | http://dx.doi.org/10.1080/14786451.2022.2134383 |
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