AC Multi-Stage Transmission Network Expansion Planning considering a Multi-Voltage Approach

Detalhes bibliográficos
Autor(a) principal: Cajas, Patricio
Data de Publicação: 2022
Outros Autores: Torres, Santiago P., Chillogalli, Jose E., Chamorro, Harold R., Sood, Vijay K., Romero, Ruben R. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ISGT-Europe54678.2022.9960363
http://hdl.handle.net/11449/249464
Resumo: Long-term transmission network expansion planning aims to determine where, when and which types of equipment should be installed over a period of time, in order to meet the electric market needs with certain specifications of quality in services at the lowest possible cost. Until now, several methods have been proposed to solve the Static Transmission Network Expansion Planning (STNEP) problem, considering a multi-voltage approach using the DC load flow, however, these solutions may not be feasible when the AC model is used for the operational problem. In this paper a multi-stage model based on the mathematical formulation of the AC load flow is solved, considering a multi-voltage approach, power losses and reactive power compensation. The AC multi-stage transmission network expansion planing problem with multi-voltage approach (MTNEP-MV) was solved by the hybrid meta-heuristic, Differential Evolution (DE) and Continuous Population-Based Incremental Learning (PBILc) algorithm. To evaluate the proposed mathematical formulation Garver 6-bus system was used. The results show that raising the transmission system voltage and considering the MTNEP-MV problem, less transmission lines are required, and also power losses and reactive power compensation needs, are reduced.
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spelling AC Multi-Stage Transmission Network Expansion Planning considering a Multi-Voltage ApproachAC Load FlowMulti-Voltage ApproachPower LossesReactive Power CompensationTransmission Network Expansion PlanningLong-term transmission network expansion planning aims to determine where, when and which types of equipment should be installed over a period of time, in order to meet the electric market needs with certain specifications of quality in services at the lowest possible cost. Until now, several methods have been proposed to solve the Static Transmission Network Expansion Planning (STNEP) problem, considering a multi-voltage approach using the DC load flow, however, these solutions may not be feasible when the AC model is used for the operational problem. In this paper a multi-stage model based on the mathematical formulation of the AC load flow is solved, considering a multi-voltage approach, power losses and reactive power compensation. The AC multi-stage transmission network expansion planing problem with multi-voltage approach (MTNEP-MV) was solved by the hybrid meta-heuristic, Differential Evolution (DE) and Continuous Population-Based Incremental Learning (PBILc) algorithm. To evaluate the proposed mathematical formulation Garver 6-bus system was used. The results show that raising the transmission system voltage and considering the MTNEP-MV problem, less transmission lines are required, and also power losses and reactive power compensation needs, are reduced.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)University of Cuenca Department of Electrical Electronics and Telecommunications Engineering (DEET)CNPq Scholarship StudentRotal Institute of Technology KthOntario Tech UniversityPaulista State University-UNESP Electrical Energy Planning Laboratory (LaPSEE), São PauloPaulista State University-UNESP Electrical Energy Planning Laboratory (LaPSEE), São Pauloand Telecommunications Engineering (DEET)CNPq Scholarship StudentKthOntario Tech UniversityUniversidade Estadual Paulista (UNESP)Cajas, PatricioTorres, Santiago P.Chillogalli, Jose E.Chamorro, Harold R.Sood, Vijay K.Romero, Ruben R. [UNESP]2023-07-29T15:42:07Z2023-07-29T15:42:07Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ISGT-Europe54678.2022.9960363IEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2022-October.http://hdl.handle.net/11449/24946410.1109/ISGT-Europe54678.2022.99603632-s2.0-85143778061Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE PES Innovative Smart Grid Technologies Conference Europeinfo:eu-repo/semantics/openAccess2024-07-04T19:11:28Zoai:repositorio.unesp.br:11449/249464Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:30:22.729545Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv AC Multi-Stage Transmission Network Expansion Planning considering a Multi-Voltage Approach
title AC Multi-Stage Transmission Network Expansion Planning considering a Multi-Voltage Approach
spellingShingle AC Multi-Stage Transmission Network Expansion Planning considering a Multi-Voltage Approach
Cajas, Patricio
AC Load Flow
Multi-Voltage Approach
Power Losses
Reactive Power Compensation
Transmission Network Expansion Planning
title_short AC Multi-Stage Transmission Network Expansion Planning considering a Multi-Voltage Approach
title_full AC Multi-Stage Transmission Network Expansion Planning considering a Multi-Voltage Approach
title_fullStr AC Multi-Stage Transmission Network Expansion Planning considering a Multi-Voltage Approach
title_full_unstemmed AC Multi-Stage Transmission Network Expansion Planning considering a Multi-Voltage Approach
title_sort AC Multi-Stage Transmission Network Expansion Planning considering a Multi-Voltage Approach
author Cajas, Patricio
author_facet Cajas, Patricio
Torres, Santiago P.
Chillogalli, Jose E.
Chamorro, Harold R.
Sood, Vijay K.
Romero, Ruben R. [UNESP]
author_role author
author2 Torres, Santiago P.
Chillogalli, Jose E.
Chamorro, Harold R.
Sood, Vijay K.
Romero, Ruben R. [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv and Telecommunications Engineering (DEET)
CNPq Scholarship Student
Kth
Ontario Tech University
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Cajas, Patricio
Torres, Santiago P.
Chillogalli, Jose E.
Chamorro, Harold R.
Sood, Vijay K.
Romero, Ruben R. [UNESP]
dc.subject.por.fl_str_mv AC Load Flow
Multi-Voltage Approach
Power Losses
Reactive Power Compensation
Transmission Network Expansion Planning
topic AC Load Flow
Multi-Voltage Approach
Power Losses
Reactive Power Compensation
Transmission Network Expansion Planning
description Long-term transmission network expansion planning aims to determine where, when and which types of equipment should be installed over a period of time, in order to meet the electric market needs with certain specifications of quality in services at the lowest possible cost. Until now, several methods have been proposed to solve the Static Transmission Network Expansion Planning (STNEP) problem, considering a multi-voltage approach using the DC load flow, however, these solutions may not be feasible when the AC model is used for the operational problem. In this paper a multi-stage model based on the mathematical formulation of the AC load flow is solved, considering a multi-voltage approach, power losses and reactive power compensation. The AC multi-stage transmission network expansion planing problem with multi-voltage approach (MTNEP-MV) was solved by the hybrid meta-heuristic, Differential Evolution (DE) and Continuous Population-Based Incremental Learning (PBILc) algorithm. To evaluate the proposed mathematical formulation Garver 6-bus system was used. The results show that raising the transmission system voltage and considering the MTNEP-MV problem, less transmission lines are required, and also power losses and reactive power compensation needs, are reduced.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
2023-07-29T15:42:07Z
2023-07-29T15:42:07Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/ISGT-Europe54678.2022.9960363
IEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2022-October.
http://hdl.handle.net/11449/249464
10.1109/ISGT-Europe54678.2022.9960363
2-s2.0-85143778061
url http://dx.doi.org/10.1109/ISGT-Europe54678.2022.9960363
http://hdl.handle.net/11449/249464
identifier_str_mv IEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2022-October.
10.1109/ISGT-Europe54678.2022.9960363
2-s2.0-85143778061
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv IEEE PES Innovative Smart Grid Technologies Conference Europe
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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