Extraction of impulsive noise from measurements in a 400 kV electricity substation

  • Authors:

  • Qingshan Shan;Shahzad Bhatti;I. A. Glover;R. Atkinson;I. E. Portugues;P. J. Moore;R. Rutherford

  • Affiliations:

  • Centre for Excellence in Signal and Image Processing, Department of Electronic & Electrical Engineering, University of Strathclyde, Glasgow;Centre for Excellence in Signal and Image Processing, Department of Electronic & Electrical Engineering, University of Strathclyde, Glasgow;Centre for Excellence in Signal and Image Processing, Department of Electronic & Electrical Engineering, University of Strathclyde, Glasgow;Centre for Intelligent Dynamic Communications, Department of Electronic & Electrical Engineering, University of Strathclyde, Glasgow;Institute for Energy & Environment, Department of Electronic & Electrical Engineering, University of Strathclyde, Glasgow;Institute for Energy & Environment, Department of Electronic & Electrical Engineering, University of Strathclyde, Glasgow;Scottish Power-Energy, Networks & Telecommunications, Glasgow

  • Venue:
  • EE'09 Proceedings of the 4th IASME/WSEAS international conference on Energy & environment
  • Year:
  • 2009

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Abstract

This work forms part of a larger project to investigate the vulnerability of wireless local area network (WLAN) and wireless personal area network (WPAN) technologies to impulsive noise in electricity substations. An algorithm has been developed to extract impulsive noise from measurements of the microwave noise environment in a substation. The algorithm, based on wavelet packet transformation, is described and its utility to extract impulsive noise time series demonstrated.