Event Detection and Classification Algorithm Using Wide Area Measurement Systems

OKUMUŞ H., NUROĞLU F. M.

6th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2018, Oshawa, Canada, 12 - 15 August 2018, pp.230-233 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/sege.2018.8499443
  • City: Oshawa
  • Country: Canada
  • Page Numbers: pp.230-233
  • Karadeniz Technical University Affiliated: Yes

Abstract

Having a reliable and secure electric grid can be obtained by preventing the disturbances that occur in the system. Since the power system parameters get affected by the disturbances, analyzing the dynamic behaviour of these parameters can give information about the disturbance. Wide area measurement systems (WAMS) are widely used for this purpose.This paper presents an event detection algorithm using frequency data obtained from the WAMS device Frequency Disturbance Recorder (FDR) which is a type of phasor measurement unit (PMU). The algorithm scans each sample of the data and compares the frequency variation with a specified threshold. When the variation value is above the threshold the event is detected. The event type is classified using the correlation method. The proposed algorithm is validated with case studies from North American Interconnections and European Interconnection. The results show high reliability and potential for future studies.