Simulation-based optimization framework to increase distribution system photovoltaic hosting capacity through optimal settings of smart inverter Volt-VAr control function

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorCENTROSUR Electric Distribution Utility-
Autor(es): dc.creatorJaramillo-Leon, Brian-
Autor(es): dc.creatorZambrano-Asanza, Sergio-
Autor(es): dc.creatorFranco, John F.-
Autor(es): dc.creatorLeite, Jonatas B.-
Data de aceite: dc.date.accessioned2025-08-21T19:45:11Z-
Data de disponibilização: dc.date.available2025-08-21T19:45:11Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-01-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.epsr.2022.108971-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/246484-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/246484-
Descrição: dc.descriptionSmart inverter functionalities can enable higher penetration levels of inverter-based distributed energy resources. The smart inverter voltage-reactive power (Volt-VAr) control function adjusts the injection and/or absorption of reactive power as a function of the voltage at the connection point through the control curve set-points. In this work, an optimization problem is formulated to increase the photovoltaic capacity in distribution systems by determining the best Volt-VAr control curve set-points of the photovoltaic inverter.A simulation-based optimization framework is proposed, which uses the Particle Swarm Optimization algorithm in the optimization stage, while power flows are executed in the simulation stage through OpenDSS. The performance assessment is performed under a real-world distribution feeder of an Ecuadorian electric utility. The proposed method found both the maximum installed capacity of a photovoltaic power plant and the best Volt-VAr control settings for a set of candidate locations. Results showed the most suitable feeder location for the installation of a single photovoltaic power plant. Besides, the Volt-VAr control curve settings determined by the optimization method increased the maximum installed capacity by 45.21% compared to the case when the photovoltaic inverter operates with a unity power factor.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University – UNESP, SP-
Descrição: dc.descriptionDepartment of Planning CENTROSUR Electric Distribution Utility-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University – UNESP, SP-
Descrição: dc.descriptionFAPESP: 2019/07436-5-
Idioma: dc.languageen-
Relação: dc.relationElectric Power Systems Research-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectDistribution system-
Palavras-chave: dc.subjectHosting capacity-
Palavras-chave: dc.subjectParticle swarm optimization-
Palavras-chave: dc.subjectPV power plant-
Palavras-chave: dc.subjectSmart inverter-
Palavras-chave: dc.subjectVolt-VAr control-
Título: dc.titleSimulation-based optimization framework to increase distribution system photovoltaic hosting capacity through optimal settings of smart inverter Volt-VAr control function-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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