A distance protection algorithm based on recursive minimum mean-square estimation

  • Authors:

  • Francesco Muzi

  • Affiliations:

  • Electrical Engineering Department, University of L'Aquila, L'Aquila, Italy

  • Venue:
  • IMCAS'06 Proceedings of the 5th WSEAS international conference on Instrumentation, measurement, circuits and systems
  • Year:
  • 2006

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Abstract

The paper explores an alternative algorithm for line distance protection based on the combined use of Kalman filter and recursive minimum mean-square estimation. The main advantages of the proposed method consist of great robustness and ultra-high-speed in the fault localization in both 50 Hz and 60 Hz systems. The involved parameters, i.e. the resistance and inductance of the portion of the power line between the relay and fault location, is calculated by processing the acquired sampled signals received at the terminations of the relay as given from the voltage and current measurement transformers. A description on how to use the proposed techniques to estimate the fault parameters is properly described.