A PSO-BPSO technique for hybrid power generation system sizing

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniversidad Politécnica Salesiana-
Autor(es): dc.contributorEderal Center of Technological Education Celso Suckow da Fonseca (CEFET/RJ)-
Autor(es): dc.creatorLlerena-Pizarro, Omar [UNESP]-
Autor(es): dc.creatorProenza-Perez, Nestor-
Autor(es): dc.creatorTuna, Celso Eduardo [UNESP]-
Autor(es): dc.creatorSilveira, Jose Luz [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:31:11Z-
Data de disponibilização: dc.date.available2022-02-22T00:31:11Z-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-08-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/TLA.2020.9111671-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/200607-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/200607-
Descrição: dc.descriptionThe Particle Swarm Optimization (PSO) algorithm has been widely used in the field of optimization mainly due to its easy implementation, robustness, fast convergence, and low computational cost. However, due to its continuous nature, the PSO cannot be applied directly to real-life problems such as hybrid energy generating systems (HEGS) sizing, which contain continuous and discrete decision variables. In this context, the present work proposes the combination of the original version of the PSO with the binary version of the same algorithm (BPSO) for the sizing of HEGS. The transfer function is the main difference between these two algorithms. In this paper, an S-type transfer function is used to map the continuous space into a discrete space. All components of the HEGS are modeled and simulated during the optimization process. The net present value is defined as the unique objective function. The state of charge (SOC) of the batteries is the main constraint. The proposed PSO-BPSO is used for sizing hybrid power generating systems in the Galapagos Islands in Ecuador. Results show that the best configuration for the studied case is a hybrid system with solar panels, batteries, and diesel generators. Configurations that contain only photovoltaic panels and batteries imply a higher cost due to the oversizing of the battery bank. The proposed PSO-BPSO algorithm revealed to be a simple and powerful tool for efficient energy systems sizing.-
Descrição: dc.descriptionSão Paulo State University UNESP College of Engineering of Guaratinguetá Department of Energy Laboratory of Optimization Energy Systems (LOSE) Institute of Bioenergy Research (IPBEN)-
Descrição: dc.descriptionGIDTEC - Mechanical Engineering Department Universidad Politécnica Salesiana-
Descrição: dc.descriptionEderal Center of Technological Education Celso Suckow da Fonseca (CEFET/RJ)-
Descrição: dc.descriptionSão Paulo State University UNESP College of Engineering of Guaratinguetá Department of Energy Laboratory of Optimization Energy Systems (LOSE) Institute of Bioenergy Research (IPBEN)-
Formato: dc.format1362-1370-
Idioma: dc.languageen-
Relação: dc.relationIEEE Latin America Transactions-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectHybrid generation energy systems-
Palavras-chave: dc.subjectMathematical modeling-
Palavras-chave: dc.subjectOptimal sizing-
Palavras-chave: dc.subjectPSO-BPSO-
Título: dc.titleA PSO-BPSO technique for hybrid power generation system sizing-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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