Detalhes do Documento

Disturbing Load Classification Based on the Grey Relational Analysis Method and Load Performance Index

Autor(es): Moreira, Alexandre C. ; de Souza, Wesley A. ; Conrado, Bruna R. P. ; Morales-Paredes, Helmo K. [UNESP]

Data: 2020

Identificador Persistente: http://hdl.handle.net/11449/201263

Origem: Oasisbr

Assunto(s): Grey relational analysis; Harmonic distortion; Power factor; Power quality and unbalance; Grey relational analysis; Grey relational analysis; Harmonic distortion; Harmonic distortion; Power factor; Power factor; Power quality and unbalance; Power quality and unbalance


Descrição

Made available in DSpace on 2020-12-12T02:28:10Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-02-01

This paper proposes an approach based on grey relational analysis to analyze and classify potentially disturbing loads taking into account the power factor, unbalance, harmonics and reactive power. By computer simulations, a set of loads with different characteristics were analyzed through various load performance indexes. Using the grey relational analysis applied to load performance indexes, such disturbances can be quantified; to carry out the load assessment; to help adopt energy billing policies; to support power quality control, grid management, as well as to provide information to the electric utility about analyses and decision making regarding the preventive maintenance of the grid for improved reliability and efficiency. Finally, the method was applied in practice to evaluate real disturbing loads in various industries with power quality problems.

Centre for Innovation Research and Teaching in Mechatronics – NIPEM Federal University of São João del-Rei, Rodovia MG 443 km 7

Department of Systems and Energy University of Campinas, Av. Albert Einstein 400

Graduate Program in Electrical Engineering Federal University of Minas Gerais, Av. Antônio Carlos

Institute of Science and Technology São Paulo State University (UNESP), Av. Três de Março, 511

Institute of Science and Technology São Paulo State University (UNESP), Av. Três de Março, 511

Tipo de Documento Artigo científico
Idioma Inglês
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