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


Reference:

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

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    Official URL:

    http://dx.doi.org/10.1049/cp.2012.0041

    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.

    Details

    Item Type Book Sections
    CreatorsAggarwal, R.K., Blond, S.L., Beaumont, P., Baber, G., Kawano, F. and Miura, S.
    DOI10.1049/cp.2012.0041
    DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
    Publisher StatementAggarwal_DPSP_2012_i.pdf: This paper is a postprint of a paper submitted to and accepted for publication in 1th International Conference on Developments in Power Systems Protection, 2012 and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library
    RefereedNo
    StatusPublished
    ID Code31011

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