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Geographical information system based optimal path routing of distribution networks
An electric distribution network is a part of a power system that distributes electricity to users with little power loss along its path. Distribution systems suffer from frequent interruptions, high power losses, and low voltage profile which negatively impacts both the utility and the consumers. T...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118487/ https://www.ncbi.nlm.nih.gov/pubmed/35600437 http://dx.doi.org/10.1016/j.heliyon.2022.e09397 |
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author | Techane, Lidiya Bitew Salau, Ayodeji Olalekan Gebru, Yalew Werkie Hailu, Engidaw Abel |
author_facet | Techane, Lidiya Bitew Salau, Ayodeji Olalekan Gebru, Yalew Werkie Hailu, Engidaw Abel |
author_sort | Techane, Lidiya Bitew |
collection | PubMed |
description | An electric distribution network is a part of a power system that distributes electricity to users with little power loss along its path. Distribution systems suffer from frequent interruptions, high power losses, and low voltage profile which negatively impacts both the utility and the consumers. The major cause of these challenges are unplanned network expansion, improper routing of feeders and branches, untagged transformers, poles, and capacitors, and lack of standard procedures for expansion. In this paper, ArcGIS software was used together with an Analytical Hierarchy Process (AHP) to find the optimal path for distribution feeders, as well as, to find the new transformers, poles, and capacitors placement. ETAP Software was used to model the electric distribution network and also used to compute the power loss in the network and its voltage profile. As a result, after optimal rerouting, the length of the distribution feeder was reduced by 4km. Consequently, the simulation results show that the minimum node voltage is 0.95152 p.u, which is within the IEEE limit of 0.95–1.05. The active and reactive power losses are reduced from 339.49 kW to 222.43kW (by 35%) and from 238.79kVAr to 157.38 kVAr (by 34%), respectively. |
format | Online Article Text |
id | pubmed-9118487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-91184872022-05-20 Geographical information system based optimal path routing of distribution networks Techane, Lidiya Bitew Salau, Ayodeji Olalekan Gebru, Yalew Werkie Hailu, Engidaw Abel Heliyon Research Article An electric distribution network is a part of a power system that distributes electricity to users with little power loss along its path. Distribution systems suffer from frequent interruptions, high power losses, and low voltage profile which negatively impacts both the utility and the consumers. The major cause of these challenges are unplanned network expansion, improper routing of feeders and branches, untagged transformers, poles, and capacitors, and lack of standard procedures for expansion. In this paper, ArcGIS software was used together with an Analytical Hierarchy Process (AHP) to find the optimal path for distribution feeders, as well as, to find the new transformers, poles, and capacitors placement. ETAP Software was used to model the electric distribution network and also used to compute the power loss in the network and its voltage profile. As a result, after optimal rerouting, the length of the distribution feeder was reduced by 4km. Consequently, the simulation results show that the minimum node voltage is 0.95152 p.u, which is within the IEEE limit of 0.95–1.05. The active and reactive power losses are reduced from 339.49 kW to 222.43kW (by 35%) and from 238.79kVAr to 157.38 kVAr (by 34%), respectively. Elsevier 2022-05-12 /pmc/articles/PMC9118487/ /pubmed/35600437 http://dx.doi.org/10.1016/j.heliyon.2022.e09397 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Techane, Lidiya Bitew Salau, Ayodeji Olalekan Gebru, Yalew Werkie Hailu, Engidaw Abel Geographical information system based optimal path routing of distribution networks |
title | Geographical information system based optimal path routing of distribution networks |
title_full | Geographical information system based optimal path routing of distribution networks |
title_fullStr | Geographical information system based optimal path routing of distribution networks |
title_full_unstemmed | Geographical information system based optimal path routing of distribution networks |
title_short | Geographical information system based optimal path routing of distribution networks |
title_sort | geographical information system based optimal path routing of distribution networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118487/ https://www.ncbi.nlm.nih.gov/pubmed/35600437 http://dx.doi.org/10.1016/j.heliyon.2022.e09397 |
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