Technical Losses Reduction in Underground Reticulated Distribution Systems using Artificial Neural Networks and Smart Grid Features
ABSTRACT This work presents the methodology, development and testing of an autonomous system, based on Artificial Neural Networks (ANN), for the reduction of technical losses in reticulated underground systems through the optimal control of the capacitor banks (CBs) present in the grid. The proposed...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Instituto de Tecnologia do Paraná (Tecpar)
2018-10-01
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| Series: | Brazilian Archives of Biology and Technology |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132018000200205&lng=en&tlng=en |
| _version_ | 1818320499233521664 |
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| author | Mario Sergio Cambraia Augusto Ferreira Brandão Júnior Luiz Henrique Leite Rosa |
| author_facet | Mario Sergio Cambraia Augusto Ferreira Brandão Júnior Luiz Henrique Leite Rosa |
| author_sort | Mario Sergio Cambraia |
| collection | DOAJ |
| description | ABSTRACT This work presents the methodology, development and testing of an autonomous system, based on Artificial Neural Networks (ANN), for the reduction of technical losses in reticulated underground systems through the optimal control of the capacitor banks (CBs) present in the grid. The proposed methodology includes Smart Grid features, including practical solutions for current transformers positioning in underground networks, collecting field measurements for the Distribution Operation Centre (DOC) and real-time control of field equipment (capacitors banks). The steps of the proposed methodology and the main aspects of the development of the system are also described, as well as the tests performed to prove the results and validate the system. |
| first_indexed | 2024-12-13T10:25:59Z |
| format | Article |
| id | doaj.art-9f82a56b0f874af8b9cb57257cf5751d |
| institution | Directory Open Access Journal |
| issn | 1678-4324 |
| language | English |
| last_indexed | 2024-12-13T10:25:59Z |
| publishDate | 2018-10-01 |
| publisher | Instituto de Tecnologia do Paraná (Tecpar) |
| record_format | Article |
| series | Brazilian Archives of Biology and Technology |
| spelling | doaj.art-9f82a56b0f874af8b9cb57257cf5751d2022-12-21T23:51:02ZengInstituto de Tecnologia do Paraná (Tecpar)Brazilian Archives of Biology and Technology1678-43242018-10-0161spe10.1590/1678-4324-smart-2018000180S1516-89132018000200205Technical Losses Reduction in Underground Reticulated Distribution Systems using Artificial Neural Networks and Smart Grid FeaturesMario Sergio CambraiaAugusto Ferreira Brandão JúniorLuiz Henrique Leite RosaABSTRACT This work presents the methodology, development and testing of an autonomous system, based on Artificial Neural Networks (ANN), for the reduction of technical losses in reticulated underground systems through the optimal control of the capacitor banks (CBs) present in the grid. The proposed methodology includes Smart Grid features, including practical solutions for current transformers positioning in underground networks, collecting field measurements for the Distribution Operation Centre (DOC) and real-time control of field equipment (capacitors banks). The steps of the proposed methodology and the main aspects of the development of the system are also described, as well as the tests performed to prove the results and validate the system.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132018000200205&lng=en&tlng=ensmart gridsartificial neural networksunderground reticulated networkstechnical losses |
| spellingShingle | Mario Sergio Cambraia Augusto Ferreira Brandão Júnior Luiz Henrique Leite Rosa Technical Losses Reduction in Underground Reticulated Distribution Systems using Artificial Neural Networks and Smart Grid Features Brazilian Archives of Biology and Technology smart grids artificial neural networks underground reticulated networks technical losses |
| title | Technical Losses Reduction in Underground Reticulated Distribution Systems using Artificial Neural Networks and Smart Grid Features |
| title_full | Technical Losses Reduction in Underground Reticulated Distribution Systems using Artificial Neural Networks and Smart Grid Features |
| title_fullStr | Technical Losses Reduction in Underground Reticulated Distribution Systems using Artificial Neural Networks and Smart Grid Features |
| title_full_unstemmed | Technical Losses Reduction in Underground Reticulated Distribution Systems using Artificial Neural Networks and Smart Grid Features |
| title_short | Technical Losses Reduction in Underground Reticulated Distribution Systems using Artificial Neural Networks and Smart Grid Features |
| title_sort | technical losses reduction in underground reticulated distribution systems using artificial neural networks and smart grid features |
| topic | smart grids artificial neural networks underground reticulated networks technical losses |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132018000200205&lng=en&tlng=en |
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