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

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...

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Bibliographic Details
Published in:Energies (Basel) 2023-02, Vol.16 (4), p.1713
Main Authors: Parede, Vinicius Tertulino, Aoki, Alexandre Rasi, Teixeira, Mateus Duarte, Fernandes, Thelma S. Piazza, Barreto, Nathan Elias Maruch, Grando, Flavio Lori, da Silva, Vanderlei Aparecido, Guerra, Fabio Alessandro, Ramos, Milton Pires, da Costa, Clayton Hilgemberg, Mulinari, Bruna Machado, Lambert-Torres, Germano, de Almeida, Ricardo Rodrigues, Rodrigues, Rafael, Müller Junior, Victor Frederico, dos Santos, André Katayama
Format: Article
Language:English
Subjects:
Algorithms
Brazil
Communication
Computer architecture
Data analysis
Data management
Data processing
Data storage
Dimensional analysis
Electric power
Electric power systems
electrical events detection
Electricity distribution
Energy management systems
Global positioning systems
GPS
Hypothesis testing
Information storage and retrieval
Management
Measuring instruments
Methods
Neural networks
phasor measurement units
Phasors
Power plants
principal component analysis
Principal components analysis
R&D
Real time
Reliability (Engineering)
Research & development
Satellite communications
Signal processing
Wavelet transforms
wide-area monitoring
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Description
Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en16041713