Detection of faulted phase type in distribution systems based on one end voltage measurement

Author:

Alanzi Eyada A.,Younis Mahmoud A.,Ariffin Azrul Mohd

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference10 articles.

1. Dwivedi UD, Singh SN, Srivastava SC. A wavelet based approach for classification and location of faults in distribution systems. In: IEEE conference exhibition on control, communication and automation (INDICON), vol. 2. India; 2008. p. 488–93.

2. Javadian SAM, Nasrabadi AM, Haghifam M-R, Rezvantalab J. Determining fault’s type and accurate location in distribution systems with DG using MLP Neural networks. In: Clean electrical power, 2009 international conference; 2009. p. 284–9.

3. Torabi SM. Fault location and classification in distribution systems using Clark transformation and neural network. In: 16th Conference on electrical power distribution networks (EPDC). Bandar Abbas, Iran; 2011.

4. Sousa Martins L, Martins JF, Pires VF, Alegria CM. The application of neural networks and Clarke–Concordia transformation in fault location on distribution power systems. In: Transmission and distribution conference and exhibition, vol. 3. Asia Pacific: IEEE/PES; 2002. p. 2091–5.

5. A new fault location algorithm for radial distribution systems using modal analysis;Sadeh;Electr Power Energy Syst, Sci Direct,2013

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