AC Power Flow-Based Co-Optimization for Integrated Generation and Transmission Network Expansion Planning
Autor(a) principal: | |
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Data de Publicação: | 2024 |
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/PESGM51994.2024.10689001 https://hdl.handle.net/11449/308240 |
Resumo: | The integrated Generation and Transmission Network Expansion Planning (GTNEP) models have been developed to enable simultaneous investment decisions that consider both investment and operational components. In this research, a new methodology to assess the GTNEP is proposed, which takes into account the integrated planning of new generation power plants, transmission lines, reactive power allocation, and network power losses. To address the GTNEP, the operational problem is formulated using the AC optimal power flow, providing more realistic solutions. As a solution method, the Iterated Greedy Algorithm (IGA), and a hybridization of differential evolution with the tabu search (DE-TS) meta-heuristic were implemented. The proposed approach was tested using the 6-bus Garver test system. The results demonstrate that more cost-effective and realistic expansion plans are found with integrated AC-GTNEP compared to the sequential approach of first solving Generation Expansion Planning (GEP), and then Transmission Network Expansion Planning (TNEP). |
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Repositório Institucional da UNESP |
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AC Power Flow-Based Co-Optimization for Integrated Generation and Transmission Network Expansion PlanningCo-optimizationGeneration Expansion PlanningIntegrated planningTransmission Expansion PlanningThe integrated Generation and Transmission Network Expansion Planning (GTNEP) models have been developed to enable simultaneous investment decisions that consider both investment and operational components. In this research, a new methodology to assess the GTNEP is proposed, which takes into account the integrated planning of new generation power plants, transmission lines, reactive power allocation, and network power losses. To address the GTNEP, the operational problem is formulated using the AC optimal power flow, providing more realistic solutions. As a solution method, the Iterated Greedy Algorithm (IGA), and a hybridization of differential evolution with the tabu search (DE-TS) meta-heuristic were implemented. The proposed approach was tested using the 6-bus Garver test system. The results demonstrate that more cost-effective and realistic expansion plans are found with integrated AC-GTNEP compared to the sequential approach of first solving Generation Expansion Planning (GEP), and then Transmission Network Expansion Planning (TNEP).Paulista State University-UNESP Electrical Energy Planning Laboratory (LaPSEE), São PauloUniversidad de Cuenca Department of Electrical Electronics and Telecommunications Engineering (DEET)Ku Leuven Electa Research Group Electrical Engineering Department EsatEnergyVillePaulista State University-UNESP Electrical Energy Planning Laboratory (LaPSEE), São PauloUniversidade Estadual Paulista (UNESP)and Telecommunications Engineering (DEET)Electrical Engineering Department EsatEnergyVilleChillogalli, José E. [UNESP]Torres, Santiago P.Romero, Rubén R. [UNESP]Chumbi, Wilson E. [UNESP]Ergun, HakanVan Hertem, Dirk2025-04-29T20:11:38Z2024-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PESGM51994.2024.10689001IEEE Power and Energy Society General Meeting.1944-99331944-9925https://hdl.handle.net/11449/30824010.1109/PESGM51994.2024.106890012-s2.0-85207440221Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Power and Energy Society General Meetinginfo:eu-repo/semantics/openAccess2025-04-30T14:36:30Zoai:repositorio.unesp.br:11449/308240Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462025-04-30T14:36:30Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
AC Power Flow-Based Co-Optimization for Integrated Generation and Transmission Network Expansion Planning |
title |
AC Power Flow-Based Co-Optimization for Integrated Generation and Transmission Network Expansion Planning |
spellingShingle |
AC Power Flow-Based Co-Optimization for Integrated Generation and Transmission Network Expansion Planning Chillogalli, José E. [UNESP] Co-optimization Generation Expansion Planning Integrated planning Transmission Expansion Planning |
title_short |
AC Power Flow-Based Co-Optimization for Integrated Generation and Transmission Network Expansion Planning |
title_full |
AC Power Flow-Based Co-Optimization for Integrated Generation and Transmission Network Expansion Planning |
title_fullStr |
AC Power Flow-Based Co-Optimization for Integrated Generation and Transmission Network Expansion Planning |
title_full_unstemmed |
AC Power Flow-Based Co-Optimization for Integrated Generation and Transmission Network Expansion Planning |
title_sort |
AC Power Flow-Based Co-Optimization for Integrated Generation and Transmission Network Expansion Planning |
author |
Chillogalli, José E. [UNESP] |
author_facet |
Chillogalli, José E. [UNESP] Torres, Santiago P. Romero, Rubén R. [UNESP] Chumbi, Wilson E. [UNESP] Ergun, Hakan Van Hertem, Dirk |
author_role |
author |
author2 |
Torres, Santiago P. Romero, Rubén R. [UNESP] Chumbi, Wilson E. [UNESP] Ergun, Hakan Van Hertem, Dirk |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) and Telecommunications Engineering (DEET) Electrical Engineering Department Esat EnergyVille |
dc.contributor.author.fl_str_mv |
Chillogalli, José E. [UNESP] Torres, Santiago P. Romero, Rubén R. [UNESP] Chumbi, Wilson E. [UNESP] Ergun, Hakan Van Hertem, Dirk |
dc.subject.por.fl_str_mv |
Co-optimization Generation Expansion Planning Integrated planning Transmission Expansion Planning |
topic |
Co-optimization Generation Expansion Planning Integrated planning Transmission Expansion Planning |
description |
The integrated Generation and Transmission Network Expansion Planning (GTNEP) models have been developed to enable simultaneous investment decisions that consider both investment and operational components. In this research, a new methodology to assess the GTNEP is proposed, which takes into account the integrated planning of new generation power plants, transmission lines, reactive power allocation, and network power losses. To address the GTNEP, the operational problem is formulated using the AC optimal power flow, providing more realistic solutions. As a solution method, the Iterated Greedy Algorithm (IGA), and a hybridization of differential evolution with the tabu search (DE-TS) meta-heuristic were implemented. The proposed approach was tested using the 6-bus Garver test system. The results demonstrate that more cost-effective and realistic expansion plans are found with integrated AC-GTNEP compared to the sequential approach of first solving Generation Expansion Planning (GEP), and then Transmission Network Expansion Planning (TNEP). |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-01-01 2025-04-29T20:11:38Z |
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/PESGM51994.2024.10689001 IEEE Power and Energy Society General Meeting. 1944-9933 1944-9925 https://hdl.handle.net/11449/308240 10.1109/PESGM51994.2024.10689001 2-s2.0-85207440221 |
url |
http://dx.doi.org/10.1109/PESGM51994.2024.10689001 https://hdl.handle.net/11449/308240 |
identifier_str_mv |
IEEE Power and Energy Society General Meeting. 1944-9933 1944-9925 10.1109/PESGM51994.2024.10689001 2-s2.0-85207440221 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Power and Energy Society General Meeting |
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 |
repositoriounesp@unesp.br |
_version_ |
1834482601479372800 |