Autor: |
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, André Katayama dos Santos |
Jazyk: |
angličtina |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
Energies, Vol 16, Iss 4, p 1713 (2023) |
Druh dokumentu: |
article |
ISSN: |
1996-1073 |
DOI: |
10.3390/en16041713 |
Popis: |
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. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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