Artificial Neural Network for Fault Diagnosis in Active Distribution Network
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-10766-5_14
Reference21 articles.
1. Wang, C., Pang, K., Shahidehpour, M., Wen, F.: MILP-based fault diagnosis model in active power distribution networks. IEEE Trans. Smart Grid. 12(5), 99–107 (2021)
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3. Bangash, K.N., Farrag, M.E.A., Osman, A.H.: Manage reverse power flow and fault current level in LV network with high penetration of small scale solar and wind power generation. In: International Universities Power Engineering Conference (UPEC). IEEE Proceedings (2018)
4. Hadjidemetriou, L., Kyriakides, E., Blaabjerg, F.: A new hybrid PLL for interconnecting renewable energy systems to the grid. IEEE Trans. Ind. Appl. 49(6), 115–123 (2013)
5. Long, B., Liao, Y., Chong, K.T., Rodríguez, J., Guerrero, J.M.: MPC-controlled virtual synchronous generator to enhance frequency and voltage dynamic performance in islanded microgrids. IEEE Trans. Smart Grid 12(2), 953–964 (2021)
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