1. Arab, A., Khodaei, A., Khator, S. K., Ding, K., Emesih, V. A., & Han, Z. (2015). Stochastic pre-hurricane restoration planning for electric power systems infrastructure. IEEE Transactions on Smart Grid, 6(2), 1046-1054. [ DOI:10.1109/TSG.2015.2388736] 2. Farzin, H., Fotuhi-Firuzabad, M., & Moeini-Aghtaie, M. (2016). Enhancing power system resilience through hierarchical outage management in multi-microgrids. IEEE Transactions on Smart Grid, 7(6), 2869-2879. [ DOI:10.1109/TSG.2016.2558628] 3. Electric Power Research Institute. (2013). Enhancing distribution resiliency: Opportunities for applying innovative technologies (Report No. 1026889). Palo Alto, CA, USA. 4. Mishra, D. K., Ghadi, M. J., Azizivahed, A., Li, L., & Zhang, J. (2024). A review on resilience studies in active distribution systems. Renewable and Sustainable Energy Reviews, 135, 1-20. [ DOI:10.1016/j.rser.2020.110201] 5. Ma, S., Su, L., Wang, Z., Qiu, F., & Guo, G. (2018). Resilience enhancement of distribution grids against extreme weather events. IEEE Transactions on Power Systems, 33(5), 4842-4853. [ DOI:10.1109/TPWRS.2018.2822295] 6. Ma, S., Chen, B., & Wang, Z. (2018). Resilience enhancement strategy for distribution systems under extreme weather events. IEEE Transactions on Smart Grid, 9(2), 1442-1451. [ DOI:10.1109/TSG.2016.2591885] 7. Yuan, C., Illindala, M. S., & Khalsa, A. S. (2017). Modified Viterbi algorithm based distribution system restoration strategy for grid resiliency. IEEE Transactions on Power Delivery, 32(1), 310-319. [ DOI:10.1109/TPWRD.2016.2613935] 8. Shi, Q., Li, F., Olama, M., Dong, J., Xue, Y., Starke, M., & et al. (2021). Network reconfiguration and distributed energy resource scheduling for improved distribution system resilience. International Journal of Electrical Power & Energy Systems, 131, 107073. [ DOI:10.1016/j.ijepes.2020.106355] 9. Ghafarpour, R., Saadi, S., Zamaniyan, S., & Mahmoudian, M. (2023). Improving the resilience of electrical distribution systems through optimal performance and adaptability in the presence of mobile generation sources [in Persian]. Passive Defense, 14(3), 105-114. 10. Chen, L. B., & Chen, H. (2019). Optimal planning of automatic switches in a resilient distribution network against extreme disasters. Electric Power Automation Equipment, 11. 11. Wei, C., Shen, Z., Xiao, D., Wang, L., Bai, X., & Chen, H. (2023). An optimal scheduling strategy for peer-to-peer trading in interconnected microgrids based on RO and Nash bargaining. Applied Energy, 275. 12. Gholami, A., Shekari, T., Aminifar, F., & et al. (2016). Microgrid scheduling with uncertainty: The quest for resilience. IEEE Transactions on Smart Grid, 7(1). [ DOI:10.1109/TSG.2016.2598802] 13. Bie, Z., Lin, Y., & Li, G. (2015). Concept and research prospects of power system resilience. Automation of Electric Power Systems, 39(22), 1-9. 14. Wang, Y., Huang, T., Li, X., Tang, J., Wu, Z., Mo, Y., Xue, L., Zhou, Y., Niu, T., & Sun, S. (2022). A resilience evaluation framework for distribution systems under typhoon disasters. IEEE Access, 9, 155224-155233. [ DOI:10.1109/ACCESS.2021.3128967] 15. Sun, S., Lyu, Q., Li, G., Lin, Y., Bie, Z., & Wen, W. (2019). Resilience modeling and evaluation for power distribution systems under typhoon disasters. Proceedings of the 2019 IEEE Sustainable Power and Energy Conference (iSPEC), 2413-2418. [ DOI:10.1109/iSPEC48194.2019.8975030] 16. Shi, W., Liang, H., & Bittner, M. (2024). Stochastic planning for power distribution system resilience enhancement against earthquakes considering mobile energy resources. IEEE Transactions on Sustainable Energy, 15(1), 414-428. [ DOI:10.1109/TSTE.2023.3296063] 17. Chen, C., Wang, J., & Ton, D. (2017). Modernizing distribution system restoration to achieve grid resiliency against extreme weather events: An integrated solution. Proceedings of the IEEE, 105(7), 1267-1288. [ DOI:10.1109/JPROC.2017.2684780] 18. Hasani M M, Khorsandi A. (2024). Optimizing the Topology of a Power Grid to Enhance its Resilience Against Cyber-Physical Attacks. ieijqp ,13 (4) :11-18. 19. Chen, C., Wang, J., Qiu, F., et al. (2015). Resilient distribution system by microgrids formation after natural disasters. IEEE Transactions on Smart Grid, 7(2), 958-966. [ DOI:10.1109/TSG.2015.2429653] 20. Trakas, D. N., Panteli, M., Hatziargyriou, N. D., & et al. (2019). Spatial risk analysis of power systems resilience during extreme events. Risk Analysis, 39(1), 195-211. [ DOI:10.1111/risa.13220] 21. Madhiarasan, M. (2020). Accurate prediction of different forecast horizons wind speed using a recursive radial basis function neural network. Protection and Control of Modern Power Systems, 5(1), 1-9. [ DOI:10.1186/s41601-020-00166-8] 22. Panteli, M., Pickering, C., Wilkinson, S., Dawson, R., & Mancarella, P. (2017). Power system resilience to extreme weather: Fragility modeling, probabilistic impact assessment, and adaptation measures. IEEE Transactions on Power Systems, 32(5), 3747-3757. [ DOI:10.1109/TPWRS.2016.2641463] 23. Schulz, F., Wagner, D., & Weihe, K. (2000). Dijkstra's algorithm online: An empirical case study from public railroad transport. Journal of Experimental Algorithmics, 5, Article 12. [ DOI:10.1145/351827.384254] 24. Chen, B., Shi, Y., & Chen, Y. (2021). A resilience enhancement model for complex distribution network coupling with human resources and traffic network. Complexity, 2021, Article 6634431. [ DOI:10.1155/2021/2051719] 25. Popovic, D. S., & Popovic, J. A. (2004). A new semi-supervised learning approach to power distribution system restoration. IEEE Transactions on Power Systems, 19(4), 1710-1717. [ DOI:10.1109/TPWRS.2003.821432] 26. Emayehu, B. (2024). Network reconfiguration and DG based compensation of Wolaita Sodo distribution system by using particle swarm optimisation. Scientific Reports, 14, Article 12574893. 27. Wang, Y., Chen, C., Wang, J., & Baldick, R. (2016). Research on resilience of power systems: Market, scheduling, and planning perspectives. IEEE Transactions on Smart Grid, 7(5), 2490-2499. 28. Storn R and Price K (1997). Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces. J of Global Optim 11: 341 -359. [ DOI:10.1023/A:1008202821328] |
