AC Power Flow-Based Co-Optimization for Integrated Generation and Transmission Network Expansion Planning

Bibliographic Details
Main Author: Chillogalli, José E. [UNESP]
Publication Date: 2024
Other Authors: Torres, Santiago P., Romero, Rubén R. [UNESP], Chumbi, Wilson E. [UNESP], Ergun, Hakan, Van Hertem, Dirk
Format: Conference object
Language: eng
Source: Repositório Institucional da UNESP
Download full: http://dx.doi.org/10.1109/PESGM51994.2024.10689001
https://hdl.handle.net/11449/308240
Summary: 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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spelling 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
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