Accurate fault location in high voltage transmission systems comprising an improved thyristor controlled series capacitor model using wavelet transforms and neural network

W J Cheong, R K Aggarwal

Research output: Contribution to conferencePaper

11 Citations (Scopus)

Abstract

This paper describes the applications of discrete wavelet transforms (DWT) coupled with conventional artificial neural networks (ANN) to the development of a fault location technique under an improved TCSC transmission system model. The fault location scheme is modular based whereby fault type is verified before identifying the fault location using ANN. This method relies on utilising DWT to decompose the busbar voltages and line currents obtained from a single terminal into a series of time-scale representations. A feature model using self-organising maps (SOM) is applied herein to verify the fault location capability of the extracted features. Results of computer experiments with simulated faulted TCSC transmission line are included and they indicate that this approach can be used as an effective tool for accurate fault location in TCSC systems. More importantly, it obviates knowledge of firing angle of the TCSC or any predefined assumptions.
Original languageEnglish
Publication statusPublished - 2002
EventTransmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES -
Duration: 1 Jan 2002 → …

Conference

ConferenceTransmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES
Period1/01/02 → …

Fingerprint

Electric fault location
Thyristors
Wavelet transforms
Capacitors
Neural networks
Electric potential
Discrete wavelet transforms
Busbars
Self organizing maps
Electric lines
Experiments

Keywords

  • wavelet transforms
  • simulated faulted TCSC transmission line
  • power capacitors
  • power system faults
  • neural network
  • accurate fault location
  • line currents
  • power engineering computing
  • thyristor applications
  • TCSC transmission system model
  • self-organising feature maps
  • self-organising maps
  • time-scale representations
  • thyristor controlled series capacitor model
  • firing angle knowledge
  • feature model
  • high voltage transmission systems
  • busbars
  • fault location
  • power transmission lines
  • busbar voltages
  • discrete wavelet transforms
  • computer experiments

Cite this

Cheong, W. J., & Aggarwal, R. K. (2002). Accurate fault location in high voltage transmission systems comprising an improved thyristor controlled series capacitor model using wavelet transforms and neural network. Paper presented at Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES, .

Accurate fault location in high voltage transmission systems comprising an improved thyristor controlled series capacitor model using wavelet transforms and neural network. / Cheong, W J; Aggarwal, R K.

2002. Paper presented at Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES, .

Research output: Contribution to conferencePaper

Cheong, WJ & Aggarwal, RK 2002, 'Accurate fault location in high voltage transmission systems comprising an improved thyristor controlled series capacitor model using wavelet transforms and neural network' Paper presented at Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES, 1/01/02, .
Cheong WJ, Aggarwal RK. Accurate fault location in high voltage transmission systems comprising an improved thyristor controlled series capacitor model using wavelet transforms and neural network. 2002. Paper presented at Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES, .
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