AC Multi-Stage Transmission Network Expansion Planning considering a Multi-Voltage Approach
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
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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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 |
|
_version_ |
1808128663701422080 |