Decentralized Stochastic Optimal Power Flow Problem Considering Prohibited Operating Zones and Renewables Sources

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorAalto University-
Autor(es): dc.creatorYamaguti, Lucas Do Carmo-
Autor(es): dc.creatorHome-Ortiz, Juan M.-
Autor(es): dc.creatorPourakbari-Kasmaei, Mahdi-
Autor(es): dc.creatorMantovani, Jose Roberto Sanches-
Data de aceite: dc.date.accessioned2025-08-21T17:14:44Z-
Data de disponibilização: dc.date.available2025-08-21T17:14:44Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/TIA.2025.3532918-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/306240-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/306240-
Descrição: dc.descriptionThe traditional Optimal Power Flow (OPF) problem is formulated in a centralized manner assuming a single operator manager has full access to the system information. However, transmission power systems often consist of interconnected areas controlled by multiple regional operators who can only access local information and must coordinate with neighboring areas, sharing limited data like voltage magnitude and angle at tie-lines. In this work, the decentralized OPF problem is extended by including prohibited operational zones (POZ) constraints of thermoelectrical units and formulated as a mixed-integer nonlinear programming model. Uncertainties in load behavior and renewable energy sources are addressed using a stochastic scenario-based approach. A matheuristic algorithm based on the variable neighborhood descent heuristic method is used to handle the integer variables. The proposed model and solution technique are applied in the IEEE 118-bus system, considering the local weather conditions. The obtained results demonstrate the good quality and performance of the proposed model and solution technique compared with the solution of the OPF problem considering a centralized approach.-
Descrição: dc.descriptionSao Paulo State University Department of Electrical Engineering-
Descrição: dc.descriptionPolytechnic School of the University of São Paulo, SP-
Descrição: dc.descriptionUniversity of Campinas Department of Systems and Energy-
Descrição: dc.descriptionAalto University Department of Electrical Engineering and Automation-
Descrição: dc.descriptionSao Paulo State University Department of Electrical Engineering-
Idioma: dc.languageen-
Relação: dc.relationIEEE Transactions on Industry Applications-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectDecentralized power systems operation-
Palavras-chave: dc.subjectmatheuristic optimization-
Palavras-chave: dc.subjectoptimal power flow-
Palavras-chave: dc.subjectprohibited operating zones-
Palavras-chave: dc.subjectrenewable energy sources-
Título: dc.titleDecentralized Stochastic Optimal Power Flow Problem Considering Prohibited Operating Zones and Renewables Sources-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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