High impedance fault location in power distribution systems using deep learning and micro phasor measurements units ($$\mu$$PMU)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s41939-023-00257-7.pdf
Reference23 articles.
1. Alwash SF, Ramachandaramurthy VK, Mithulananthan N (2014) Fault-location scheme for power distribution system with distributed generation. IEEE Trans Power Delivery 30:1187–1195
2. Aminifar F, Lucas C, Khodaei A, Fotuhi-Firuzabad M (2009) Optimal placement of phasor measurement units using immunity genetic algorithm. IEEE Trans Power Delivery 24:1014–1020
3. Borghetti A, Bosetti M, Nucci CA, Paolone M, Abur A (2010) Integrated use of time-frequency wavelet decompositions for fault location in distribution networks: theory and experimental validation. IEEE Trans Power Delivery 25:3139–3146
4. Cao W, Pan X, Sobhani B (2021) Integrated demand response based on household and photovoltaic load and oscillations effects. Int J Hydrogen Energy 46(79):39523–39535
5. Daisy M, Dashti R (2016) Single phase fault location in electrical distribution feeder using hybrid method. Energy 103:356–368
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