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

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorand Telecommunications Engineering (DEET)-
Autor(es): dc.contributorElectrical Engineering Department Esat-
Autor(es): dc.contributorEnergyVille-
Autor(es): dc.creatorChillogalli, José E.-
Autor(es): dc.creatorTorres, Santiago P.-
Autor(es): dc.creatorRomero, Rubén R.-
Autor(es): dc.creatorChumbi, Wilson E.-
Autor(es): dc.creatorErgun, Hakan-
Autor(es): dc.creatorVan Hertem, Dirk-
Data de aceite: dc.date.accessioned2025-08-21T18:24:43Z-
Data de disponibilização: dc.date.available2025-08-21T18:24:43Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/PESGM51994.2024.10689001-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/308240-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/308240-
Descrição: dc.descriptionThe 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).-
Descrição: dc.descriptionPaulista State University-UNESP Electrical Energy Planning Laboratory (LaPSEE), São Paulo-
Descrição: dc.descriptionUniversidad de Cuenca Department of Electrical Electronics and Telecommunications Engineering (DEET)-
Descrição: dc.descriptionKu Leuven Electa Research Group Electrical Engineering Department Esat-
Descrição: dc.descriptionEnergyVille-
Descrição: dc.descriptionPaulista State University-UNESP Electrical Energy Planning Laboratory (LaPSEE), São Paulo-
Idioma: dc.languageen-
Relação: dc.relationIEEE Power and Energy Society General Meeting-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCo-optimization-
Palavras-chave: dc.subjectGeneration Expansion Planning-
Palavras-chave: dc.subjectIntegrated planning-
Palavras-chave: dc.subjectTransmission Expansion Planning-
Título: dc.titleAC Power Flow-Based Co-Optimization for Integrated Generation and Transmission Network Expansion Planning-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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