Multicriteria Decision Analysis in Geographic Information Systems for Identifying Ideal Locations for New Substations
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s40313-021-00738-5 http://hdl.handle.net/11449/208711 |
Resumo: | The location of a new substation is a key factor in the expansion of electrical distribution systems. This location is strategic from the point of view of the costs associated with energy supply; therefore, a holistic and integral planning of sub-transmission and primary distribution subsystems requires the development of suitable optimization methods to support the decision process. Although future electric load growth is a critical factor to define capacity and location of new substations, other technical, environmental, soil characteristics, risk, social, and administrative criteria that influence the final location are also crucial. A multicriteria decision analysis based on geographic information system is proposed in this paper to combine those criteria taking into account decision makers' preferences and physical restrictions on land use. The main contributions of this paper are the identification of the criteria and the analysis of service areas in existing substations to impose constraints on the problem. A spatial heat map that facilitates the visual interpretation of the spatial relations of the criteria is produced based on a suitability score. The proposed method was evaluated in the service area of an Ecuadorian distribution energy utility. It was found that the two more important criteria are the electric load density and the distance to subtransmission network with weights of 44% and 23%, respectively. The proposed analysis is able to identify ideal locations for new substations, which can be used by the planner to find the best long-term network expansion alternative. |
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Multicriteria Decision Analysis in Geographic Information Systems for Identifying Ideal Locations for New SubstationsAnalytic hierarchy processElectric loadGISMulticriteria decision analysisSubstation planningSuitability analysisThe location of a new substation is a key factor in the expansion of electrical distribution systems. This location is strategic from the point of view of the costs associated with energy supply; therefore, a holistic and integral planning of sub-transmission and primary distribution subsystems requires the development of suitable optimization methods to support the decision process. Although future electric load growth is a critical factor to define capacity and location of new substations, other technical, environmental, soil characteristics, risk, social, and administrative criteria that influence the final location are also crucial. A multicriteria decision analysis based on geographic information system is proposed in this paper to combine those criteria taking into account decision makers' preferences and physical restrictions on land use. The main contributions of this paper are the identification of the criteria and the analysis of service areas in existing substations to impose constraints on the problem. A spatial heat map that facilitates the visual interpretation of the spatial relations of the criteria is produced based on a suitability score. The proposed method was evaluated in the service area of an Ecuadorian distribution energy utility. It was found that the two more important criteria are the electric load density and the distance to subtransmission network with weights of 44% and 23%, respectively. The proposed analysis is able to identify ideal locations for new substations, which can be used by the planner to find the best long-term network expansion alternative.Department of Electrical Engineering Universidade Estadual Paulista “Júlio de Mesquita Filho”—UNESPDepartment of Planning “Empresa Eléctrica Regional Centro Sur C.A.”—CENTROSURFaculty of Electrical and Computer Engineering Universidade Estadual de Campinas—UNICAMPDepartment of Electrical Engineering Universidade Estadual Paulista “Júlio de Mesquita Filho”—UNESPUniversidade Estadual Paulista (Unesp)“Empresa Eléctrica Regional Centro Sur C.A.”—CENTROSURUniversidade Estadual de Campinas (UNICAMP)Zambrano-Asanza, S. [UNESP]Chumbi, W. E. [UNESP]Franco, John F. [UNESP]Padilha-Feltrin, A. [UNESP]2021-06-25T11:17:47Z2021-06-25T11:17:47Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s40313-021-00738-5Journal of Control, Automation and Electrical Systems.2195-38992195-3880http://hdl.handle.net/11449/20871110.1007/s40313-021-00738-52-s2.0-85106462924Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Control, Automation and Electrical Systemsinfo:eu-repo/semantics/openAccess2021-10-23T19:02:26Zoai:repositorio.unesp.br:11449/208711Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T19:02:26Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Multicriteria Decision Analysis in Geographic Information Systems for Identifying Ideal Locations for New Substations |
title |
Multicriteria Decision Analysis in Geographic Information Systems for Identifying Ideal Locations for New Substations |
spellingShingle |
Multicriteria Decision Analysis in Geographic Information Systems for Identifying Ideal Locations for New Substations Zambrano-Asanza, S. [UNESP] Analytic hierarchy process Electric load GIS Multicriteria decision analysis Substation planning Suitability analysis |
title_short |
Multicriteria Decision Analysis in Geographic Information Systems for Identifying Ideal Locations for New Substations |
title_full |
Multicriteria Decision Analysis in Geographic Information Systems for Identifying Ideal Locations for New Substations |
title_fullStr |
Multicriteria Decision Analysis in Geographic Information Systems for Identifying Ideal Locations for New Substations |
title_full_unstemmed |
Multicriteria Decision Analysis in Geographic Information Systems for Identifying Ideal Locations for New Substations |
title_sort |
Multicriteria Decision Analysis in Geographic Information Systems for Identifying Ideal Locations for New Substations |
author |
Zambrano-Asanza, S. [UNESP] |
author_facet |
Zambrano-Asanza, S. [UNESP] Chumbi, W. E. [UNESP] Franco, John F. [UNESP] Padilha-Feltrin, A. [UNESP] |
author_role |
author |
author2 |
Chumbi, W. E. [UNESP] Franco, John F. [UNESP] Padilha-Feltrin, A. [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) “Empresa Eléctrica Regional Centro Sur C.A.”—CENTROSUR Universidade Estadual de Campinas (UNICAMP) |
dc.contributor.author.fl_str_mv |
Zambrano-Asanza, S. [UNESP] Chumbi, W. E. [UNESP] Franco, John F. [UNESP] Padilha-Feltrin, A. [UNESP] |
dc.subject.por.fl_str_mv |
Analytic hierarchy process Electric load GIS Multicriteria decision analysis Substation planning Suitability analysis |
topic |
Analytic hierarchy process Electric load GIS Multicriteria decision analysis Substation planning Suitability analysis |
description |
The location of a new substation is a key factor in the expansion of electrical distribution systems. This location is strategic from the point of view of the costs associated with energy supply; therefore, a holistic and integral planning of sub-transmission and primary distribution subsystems requires the development of suitable optimization methods to support the decision process. Although future electric load growth is a critical factor to define capacity and location of new substations, other technical, environmental, soil characteristics, risk, social, and administrative criteria that influence the final location are also crucial. A multicriteria decision analysis based on geographic information system is proposed in this paper to combine those criteria taking into account decision makers' preferences and physical restrictions on land use. The main contributions of this paper are the identification of the criteria and the analysis of service areas in existing substations to impose constraints on the problem. A spatial heat map that facilitates the visual interpretation of the spatial relations of the criteria is produced based on a suitability score. The proposed method was evaluated in the service area of an Ecuadorian distribution energy utility. It was found that the two more important criteria are the electric load density and the distance to subtransmission network with weights of 44% and 23%, respectively. The proposed analysis is able to identify ideal locations for new substations, which can be used by the planner to find the best long-term network expansion alternative. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T11:17:47Z 2021-06-25T11:17:47Z 2021-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s40313-021-00738-5 Journal of Control, Automation and Electrical Systems. 2195-3899 2195-3880 http://hdl.handle.net/11449/208711 10.1007/s40313-021-00738-5 2-s2.0-85106462924 |
url |
http://dx.doi.org/10.1007/s40313-021-00738-5 http://hdl.handle.net/11449/208711 |
identifier_str_mv |
Journal of Control, Automation and Electrical Systems. 2195-3899 2195-3880 10.1007/s40313-021-00738-5 2-s2.0-85106462924 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Control, Automation and Electrical Systems |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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_version_ |
1803046347250597888 |