An Efficient Stochastic Reconfiguration Model for Distribution Systems With Uncertain Loads

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorSchool of Electrical and Electronic Engineering-
Autor(es): dc.contributorSchool of Electrical Engineering and Computer Science-
Autor(es): dc.creatorMahdavi, Meisam-
Autor(es): dc.creatorAlhelou, Hassan Haes-
Autor(es): dc.creatorHesamzadeh, Mohammad Reza-
Data de aceite: dc.date.accessioned2025-08-21T16:36:15Z-
Data de disponibilização: dc.date.available2025-08-21T16:36:15Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/ACCESS.2022.3144665-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/230263-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/230263-
Descrição: dc.descriptionActive power losses of distribution systems are higher than transmission ones, in which these losses affect the distribution operational costs directly. One of the efficient and effective methods for power losses reduction is distribution system reconfiguration (DSR). In this way, the network configuration is changed based on a specific power demand that has been already predicted by load forecasting techniques. The ohmic loss level in distribution system is affected by energy demand level, this is while an error in load forecasting can influence losses. Accordingly, including load uncertainty in DSR formulation is essential but this issue should not lead to change of the reconfiguration results significantly (i.e. the model should be robust). This paper presents a robust and efficient model for considering load uncertainty in network reconfiguration that is simple enough to implement in available commercial software packages and it is precise enough to find accurate solutions with low computational time. The analysis of results shows high efficiency and robustness of the proposed model for reconfiguration of distribution systems under demand uncertainty.-
Descrição: dc.descriptionBioenergy Research Institute (IPBEN) São Paulo State University Campus of Ilha Solteira Associated Laboratory-
Descrição: dc.descriptionUniversity College Dublin School of Electrical and Electronic Engineering-
Descrição: dc.descriptionKTH Royal Institute of Technology School of Electrical Engineering and Computer Science-
Descrição: dc.descriptionBioenergy Research Institute (IPBEN) São Paulo State University Campus of Ilha Solteira Associated Laboratory-
Formato: dc.format10640-10652-
Idioma: dc.languageen-
Relação: dc.relationIEEE Access-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectComputational modeling-
Palavras-chave: dc.subjectDistribution networks-
Palavras-chave: dc.subjectLoad flow analysis-
Palavras-chave: dc.subjectLoad modeling-
Palavras-chave: dc.subjectMathematical models-
Palavras-chave: dc.subjectProbability density function-
Palavras-chave: dc.subjectUncertainty-
Título: dc.titleAn Efficient Stochastic Reconfiguration Model for Distribution Systems With Uncertain Loads-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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