Fault Recovery and Reconfiguration of Distribution Network Based on Artificial Intelligence Algorithm
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-3632-6_62
Reference12 articles.
1. Wen, J., Tan, Y., Jiang, L., et al.: Dynamic reconfiguration of distribution networks considering the real-time topology variation. IET Gener. Transm. Distrib. 12(7), 1509–1517 (2017)
2. Garau, M., Ghiani, E., Celli, G., et al.: Co-simulation of smart distribution network fault management and reconfiguration with LTE communication. Energies 11(6), 1332 (2018)
3. Jain, T., Ghosh, D., Mohanta, D.K.: Augmentation of situational awareness by fault passage indicators in distribution network incorporating network reconfiguration. Protect. Control Mod. Power Syst. 4(1), 1–14 (2019). https://doi.org/10.1186/s41601-019-0140-6
4. Ke, S., Lin, T., Chen, R., et al.: A novel self-healing strategy for distribution network with distributed generators considering uncertain power-quality constraints. Appl. Sci. 10(4), 1469 (2020)
5. Golub, I., Voitov, O., Boloev, E., et al.: Reconfiguration of primary distribution network with several independent power sources. IFAC-PapersOnLine 52(4), 437–442 (2019)
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