Title :
Automated analysis of voltage sags, their causes and impacts
Author :
Kezunovic, Mladen
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
This paper focuses on voltage sags. It introduces an automated approach to the analysis of voltage sags, their causes and impacts. The sag analysis is performed using software tools developed for this purpose. First, the software performs detection, classification and characterization of voltage sags. Next, if the voltage sag is caused by a fault, the software finds the fault location. Finally the software allows replaying of the sag waveforms for the purpose of evaluating of the impacts on equipment operation.
Keywords :
fault location; power supply quality; power system analysis computing; power system faults; Fourier transforms; classification; detection; fault location; fuzzy logic; genetic algorithms; power quality; sag analysis; sag waveforms; software; software tools; voltage measurements; voltage sag causes; voltage sag impacts; voltage sags automated analysis; waveform generators; wavelet transforms; Circuit faults; Event detection; Fault detection; Fault location; Fourier transforms; Genetic algorithms; Power quality; Software performance; Software tools; Voltage fluctuations;
Conference_Titel :
Power Engineering Society Summer Meeting, 2001
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-7173-9
DOI :
10.1109/PESS.2001.970220
