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

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.

A subsystem‐based fault location method in distribution grids by sparse measurement

“…With the continuous development of the system scale and the increasing complexity of system environment, traditional fault location methods, such as impedance-based method, are often incompetent [1,2]. Because system loading may create serious errors in the measured impedance and these schemes suffer from multiple fault positions in a multilateral grid [3], nowadays, advanced metering system with intelligent electronic devices (IEDs) has been developing quickly, and it integrates the functions of measuring, data transmission and analysis, which makes the fault location strategy based on wide-area measurements popular [4][5][6][7][8].…”