Distribution Grid Fault Classification and Localization using Convolutional Neural Networks
Author:
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40866-024-00205-5.pdf
Reference63 articles.
1. Jiang H, Wang K, Wang Y, Gao M, Zhang Y (2016) Energy big data: A survey. IEEE Access 4:3844–3861
2. Moloi K, Ntombela M, Mosetlhe TC, Ayodele TR, Yusuff AA (2021) Feature extraction based technique for fault classification in power distribution system. In: 2021 IEEE PES/IAS PowerAfrica, pp 1–5. IEEE
3. Ding J, Wang X, Zheng Y, Li L (2018) Distributed traveling-wave-based fault-location algorithm embedded in multiterminal transmission lines. IEEE Trans Power Delivery 33(6):3045–3054
4. Lopes FV, Silva KM, Costa FB, Neves WLA, Fernandes D (2015) Real-time traveling-wave-based fault location using two-terminal unsynchronized data. IEEE Trans Power Delivery 30(3):1067–1076
5. Sanseverino ER, Vigni VL, Di Stefano A, Candela R (2018) A two-end traveling wave fault location system for mv cables. IEEE Trans Ind App 55(2):1180–1188
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