Power System Event Classification Based on Machine Learning

OKUMUŞ H., NUROĞLU F. M.

3rd International Conference on Computer Science and Engineering (UBMK), Sarajevo, Bosnia And Herzegovina, 20 - 23 September 2018, pp.402-405 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/ubmk.2018.8566324
  • City: Sarajevo
  • Country: Bosnia And Herzegovina
  • Page Numbers: pp.402-405
  • Keywords: event classification, frequency disturbance recorder, machine learning, wavelet transform
  • Karadeniz Technical University Affiliated: Yes

Abstract

To obtain a stable and reliable power system, detecting the occurring events is not enough, classifying these events are also very essential. Since the power system parameters get highly affected by the events, investigating these parameters can help in the classification. In this paper real frequency signals recorded with Frequency Disturbance Recorders (FDR) during different kind of events are used as the dataset to classify the type of the events with machine learning.