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Data for resistance and inductance estimation within a voltage source inverter.
Aldana, Diego; Salgueiro, Yamisleydi; Bellinger, Colin; Rivera, Marco; Astudillo, César A.
Afiliação
  • Aldana D; Facultad de Ingeniería, Universidad de Talca, Chile.
  • Salgueiro Y; Facultad de Ingeniería, Universidad de Talca, Chile.
  • Bellinger C; Data Science for Complex Systems, National Research Council of Canada, Ottawa, Canada.
  • Rivera M; Facultad de Ingeniería, Universidad de Talca, Chile.
  • Astudillo CA; Facultad de Ingeniería, Universidad de Talca, Chile.
Data Brief ; 25: 104104, 2019 Aug.
Article em En | MEDLINE | ID: mdl-31334309
ABSTRACT
Power converters are essential for the use of renewable energy resources. For example, a photovoltaic system produces DC energy that is transformed into AC by the voltage source inverter (VSI). This power is used by a motor drive that operates at different speeds, generating variable loads. Two parameters, namely, resistance and inductance are essential to correctly adjust the model predictive control (MPC) in a VSI. In this paper, we describe the data from a VSI that incorporates an MPC. We generate four datasets consisting of 399 cases or instances (rows) each one. Two data set comprises the simulations varying the inductance (continuous and discrete versions) and the other two varying the resistance (continuous and discrete versions). The motivation behind this data is to support the design and development of nonintrusive models to predict the resistance and inductance of a VSI under different conditions.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Data Brief Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Chile

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Data Brief Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Chile