Electrical Event Detection and Monitoring Data Storage from Wide Area Measurement System

Vinicius Tertulino Parede, Alexandre Rasi Aoki, Mateus Duarte Teixeira, Thelma S. Piazza Fernandes (), Nathan Elias Maruch Barreto, Flavio Lori Grando, Vanderlei Aparecido da Silva, Fabio Alessandro Guerra, Milton Pires Ramos, Clayton Hilgemberg da Costa, Bruna Machado Mulinari, Germano Lambert-Torres, Ricardo Rodrigues de Almeida, Rafael Rodrigues, Victor Frederico Müller Junior and André Katayama dos Santos
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Vinicius Tertulino Parede: Department of Electrical Engineering, Federal University of Parana, Curitiba 81531-990, PR, Brazil
Alexandre Rasi Aoki: Department of Electrical Engineering, Federal University of Parana, Curitiba 81531-990, PR, Brazil
Mateus Duarte Teixeira: Department of Electrical Engineering, Federal University of Parana, Curitiba 81531-990, PR, Brazil
Thelma S. Piazza Fernandes: Department of Electrical Engineering, Federal University of Parana, Curitiba 81531-990, PR, Brazil
Nathan Elias Maruch Barreto: Department of Electrical Engineering, Federal University of Parana, Curitiba 81531-990, PR, Brazil
Flavio Lori Grando: Institute Gnarus, Itajubá 81070-190, MG, Brazil
Vanderlei Aparecido da Silva: Institute Gnarus, Itajubá 81070-190, MG, Brazil
Fabio Alessandro Guerra: Institute Gnarus, Itajubá 81070-190, MG, Brazil
Milton Pires Ramos: Institute Gnarus, Itajubá 81070-190, MG, Brazil
Clayton Hilgemberg da Costa: Institute Gnarus, Itajubá 81070-190, MG, Brazil
Bruna Machado Mulinari: Institute Gnarus, Itajubá 81070-190, MG, Brazil
Germano Lambert-Torres: Institute Gnarus, Itajubá 81070-190, MG, Brazil
Ricardo Rodrigues de Almeida: Copel Generation and Transmission S.A, Curitiba 81200-240, PR, Brazil
Rafael Rodrigues: Copel Generation and Transmission S.A, Curitiba 81200-240, PR, Brazil
Victor Frederico Müller Junior: Copel Generation and Transmission S.A, Curitiba 81200-240, PR, Brazil
André Katayama dos Santos: Copel Generation and Transmission S.A, Curitiba 81200-240, PR, Brazil

Energies, 2023, vol. 16, issue 4, 1-17

Abstract: Synchronized phasor measurement systems are being widely used around the world and have become essential elements in the evolution of the operation of large electrical power systems (EPS). These systems, called Phasor Measurement Units (PMUs), are capable of recording and communicating dynamic data from the EPSs in a synchronized way by GPS and with a high sampling rate, generate a huge set of data that, among many applications, has the capacity to detect events. In this way, this work presents a data management system architecture applied to a real PMU system located in the state of Paraná, Brazil that detects and storages events using principal component analysis and Pearson correlation. This method can detect and store electrical events that occurred during the operation of the national interconnected system of Brazil with good results.

Keywords: principal component analysis; wide-area monitoring; phasor measurement units; electrical events detection (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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