Hybrid-Adaptive Differential Evolution with Iterated Local Search for Long-Term Transmission Network Expansion Planning Optimization

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorPolytechnic of Porto-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorAlmeida, José-
Autor(es): dc.creatorLezama, Fernando-
Autor(es): dc.creatorSoares, João-
Autor(es): dc.creatorCanizes, Bruno-
Autor(es): dc.creatorCastro, Fábio-
Autor(es): dc.creatorPuerta, Gabriel-
Autor(es): dc.creatorMacedo, Leonardo H.-
Autor(es): dc.creatorVale, Zita-
Autor(es): dc.creatorRomero, Ruben-
Data de aceite: dc.date.accessioned2025-08-21T16:36:18Z-
Data de disponibilização: dc.date.available2025-08-21T16:36:18Z-
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/10.46855/energy-proceedings-11071-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/309789-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/309789-
Descrição: dc.descriptionThe increasing sophistication of transmission network expansion planning (TNEP) can be attributed to several evolving factors. These include the uncertain nature of renewable energy sources, the introduction of new market regulations and participants, and ongoing demand amplification in line with the increasing integration of electric vehicles and energy storage systems. The TNEP is a complex optimization problem that finds the optimal number and location of new transmission lines to satisfy system demand. In this work, we propose a hybrid-adaptive differential evolution with an iterated local search algorithm to solve this combinatorial problem and evaluate the performance of multiple acceptance criteria for solution selection in the iterative process for an 87-bus north-northeast Brazilian transmission system. Results showed that the HyDE-ILS strategies reduced the total costs by around 5% to 6% compared to HyDE on average.-
Descrição: dc.descriptionGECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development LASI - Intelligent Systems Associate LAboratory Polytechnic of Porto-
Descrição: dc.descriptionDepartment of Electrical Engineering Sao Paulo State University, Sao Paulo-
Descrição: dc.descriptionDepartment of Electrical Engineering Sao Paulo State University, Sao Paulo-
Idioma: dc.languageen-
Relação: dc.relationEnergy Proceedings-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectacceptance criteria-
Palavras-chave: dc.subjecthybrid-adaptive differential evolution-
Palavras-chave: dc.subjectiterated local search-
Palavras-chave: dc.subjecttransmission network expansion planning-
Título: dc.titleHybrid-Adaptive Differential Evolution with Iterated Local Search for Long-Term Transmission Network Expansion Planning Optimization-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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