High frequency fault location method for transmission lines based on artificial neural network and genetic algorithm using current signals only

R.K. Aggarwal, S.L. Blond, P. Beaumont, G. Baber, F. Kawano, S. Miura

Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

1 Citation (Scopus)
115 Downloads (Pure)

Abstract

The present transmission systems are rapidly changing principally due to an increasing demand for better utilisation of existing lines resulting in lower transient stability limits, and also due to an increase in the complexity of the networks with small-scale distributed generation being connected into the existing networks. The current protection/fault location techniques are not conducive to such networks. This paper investigates a novel fault location method based on current signals only and utilising Artificial Intelligence technology. Importantly, the robustness and sensitivity of the technique developed is presented through an extensive series of studies and results when applied to complex power networks.
Original languageEnglish
Title of host publication11th International Conference on Developments in Power Systems Protection, 2012. DPSP 2012
PublisherIET
DOIs
Publication statusPublished - 2012
Event11th International Conference on Developments in Power Systems Protection, 2012, DPSP 2012 - Birmingham, UK United Kingdom
Duration: 22 Apr 201225 Apr 2012

Conference

Conference11th International Conference on Developments in Power Systems Protection, 2012, DPSP 2012
CountryUK United Kingdom
CityBirmingham
Period22/04/1225/04/12

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  • Cite this

    Aggarwal, R. K., Blond, S. L., Beaumont, P., Baber, G., Kawano, F., & Miura, S. (2012). High frequency fault location method for transmission lines based on artificial neural network and genetic algorithm using current signals only. In 11th International Conference on Developments in Power Systems Protection, 2012. DPSP 2012 IET. https://doi.org/10.1049/cp.2012.0041