Meta-transfer learning-based method for multi-fault analysis and assessment in power system
Author:
Funder
Natural Science Foundation of Zhejiang Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05772-9.pdf
Reference36 articles.
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2. Gazafroudi AS, Neumann F, Brown T (2022) Topology-based approximations for n-1 contingency constraints in power transmission networks. Int J Electrical Power Energy Syst 137:107702. https://doi.org/10.1016/j.ijepes.2021.107702
3. Tinney WF, Hart CE (1967) Power flow solution by newton’s method. IEEE Trans Power Apparatus Syst PAS-86(11):1449–1460. https://doi.org/10.1109/TPAS.1967.291823
4. Abd El-sattar S, Kamel S, Ebeed M, Jurado F (2021) An improved version of salp swarm algorithm for solving optimal power flow problem. Soft Comput 25:4027–4052. https://doi.org/10.1007/s00500-020-05431-4
5. Tostado-Véliz M, Kamel S, Jurado F (2020) An efficient power-flow approach based on heun and king-werner’s methods for solving both well and ill-conditioned cases. Int J Electrical Power Energy Syst 119:105869. https://doi.org/10.1016/j.ijepes.2020.105869
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