Title :
Dynamic event detection using wavelet analysis
Author :
Mei, Kejun ; Rovnyak, Steven M. ; Ong, Chee-Mun
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN
Abstract :
This paper presents a method to detect dynamic events in electric power networks by analyzing the frequency signals with Haar wavelet. The estimated post-event damping is used to determine the end of these events, and to separate overlapping events. This method has been implemented and tested on archived field data with good results. It can potentially be implemented in phasor measurement units for dynamic event recording and wide area stability control
Keywords :
damping; phase measurement; power system measurement; power system stability; wavelet transforms; Haar wavelet; dynamic event detection; electric power networks; frequency signals; overlapping events; phasor measurement units; post-event damping estimation; wavelet analysis; wide area stability control; Damping; Event detection; Frequency; Phasor measurement units; Power system analysis computing; Power system dynamics; Power system stability; Power system transients; Signal analysis; Wavelet analysis; Discrete wavelet analysis; event detection; frequency measurement; post-event damping; triggering;
Conference_Titel :
Power Engineering Society General Meeting, 2006. IEEE
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0493-2
DOI :
10.1109/PES.2006.1709003
