Proposal of a fuzzy-based PMU for detection and classification of disturbances in power distribution networks

Autor(es)

Fonseca Sobrinho, Andre Sanches ^{[1, 2]} ; Flauzino, Rogerio Andrade ^{[2, 3]} ; Bartocci Liboni, Luisa Helena ^{[2, 3]} ; Marques Costa, Eduardo C. ^{[2, 3]}

Afiliação do(s) autor(es)

^[1] Fed Technol Univ Parana UTFPR, Dept Elect Engn, Cornelio Procopio - Brazil

^[2] Univ Sao Paulo PEA EPUSP, Polytech Sch, Dept Energy & Automat Engn, Sao Paulo - Brazil

^[3] Univ Sao Paulo SEL EESCUSP, Sao Carlos Sch Engn, Dept Elect & Comp Engn, Sao Carlos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS; v. 94, p. 27-40, JAN 2018.
• Citações Web of Science: 4

Resumo

The dynamic nature of distribution grids leads to new concerns in the operation of such electrical systems. Some features of these networks, such as distributed generation using renewable resources, changing load characteristics and increased reliability requirements, point out to the need for improved monitoring and control capabilities. Phasor Measurement Units (PMUs) provide synchronized measurements of voltage and current phasors at various locations, offering numerous possibilities to estimate the state and health of a power distribution network. In this context, a cost-optimized PMU is proposed in this paper with some exclusive features for distribution systems, such as a fuzzy inference system for identifying the cause of eventual electrical disturbances and techniques for estimating electric parameters via measured field data, which are requirements desired by power distribution companies. Experimental results are considered to prove the effective operation of the proposed PMU in power distribution systems. (C) 2017 Elsevier Ltd. All rights reserved. (AU)

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