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All issues Volume 540 (2024) E3S Web of Conf., 540 (2024) 10026 References
Open Access
Issue
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
Article Number 10026
Number of page(s) 8
Section Grid Connected Systems
DOI https://doi.org/10.1051/e3sconf/202454010026
Published online 21 June 2024
  1. C. Chen, J. Wang, F. Qiu and D. Zhao, “Resilient Distribution System by Microgrids Formation After Natural Disasters,” in IEEE Transactions on Smart Grid, vol. 7, no. 2, pp. 958–966, March 2016, doi: 10.1109/TSG.2015.2429653. [CrossRef] [Google Scholar]
  2. N. L. Dehghani and A. Shafieezadeh, “Multi-Stage Resilience Management of Smart Power Distribution Systems: A Stochastic Robust Optimization Model,” in IEEE Transactions on Smart Grid, vol. 13, no. 5, pp. 3452–3467, Sept. 2022, doi: 10.1109/TSG.2022.3170533. [CrossRef] [Google Scholar]
  3. S. Ma, B. Chen and Z. Wang, “Resilience enhancement strategy for distribution systems under extreme weather events”, IEEE Trans. Smart Grid, vol. 9, no. 2, pp. 1442–1451, Mar. 2018. [CrossRef] [Google Scholar]
  4. G. Zhang, F. Zhang, X. Zhang, K. Meng and Z. Y. Dong, “Sequential disaster recovery model for distribution systems with co-optimization of maintenance and restoration crew dispatch”, IEEE Trans. Smart Grid, vol. 11, no. 6, pp. 4700–4713, Nov. 2020. [CrossRef] [Google Scholar]
  5. M. Salimi, M.-A. Nasr, S. H. Hosseinian, G. B. Gharehpetian and M. Shahidehpour, “Information gap decision theory-based active distribution system planning for resilience enhancement”, IEEE Trans. Smart Grid, vol. 11, no. 5, pp. 4390–4402, Sep. 2020. [CrossRef] [Google Scholar]
  6. N. L. Dehghani, Y. M. Darestani and A. Shafieezadeh, “Optimal life-cycle resilience enhancement of aging power distribution systems: A MINLP-based preventive maintenance planning”, IEEE Access, vol. 8, pp. 22324–22334, 2020. [CrossRef] [Google Scholar]
  7. N. L. Dehghani, A. B. Jeddi and A. Shafieezadeh, “Intelligent hurricane resilience enhancement of power distribution systems via deep reinforcement learning”, Appl. Energy, vol. 285, 2021. [Google Scholar]
  8. A. Shahbazi, J. Aghaei, S. Pirouzi, M. Shafie-Khah and J. P. Catalão, “Hybrid stochastic/robust optimization model for resilient architecture of distribution networks against extreme weather conditions”, Int. J. Electr. Power Energy Syst., vol. 126, Mar. 2021. [Google Scholar]
  9. Y.-P. Fang and E. Zio, “An adaptive robust framework for the optimization of the resilience of interdependent infrastructures under natural hazards”, Eur. J. Oper. Res., vol. 276, no. 3, pp. 1119–1136, 2019. [CrossRef] [Google Scholar]
  10. H. Qiu, W. Gu, Y. Xu, Z. Wu, S. Zhou and G. Pan, “Robustly multi-microgrid scheduling: Stakeholder-parallelizing distributed optimization”, IEEE Trans. Sustain. Energy, vol. 11, no. 2, pp. 988–1001, Apr. 2020. [CrossRef] [Google Scholar]
  11. W. Gan, et al., “A Tri-Level Planning Approach to Resilient Expansion and Hardening of Coupled Power Distribution and Transportation Systems,” in IEEE Transactions on Power Systems, vol. 37, no. 2, pp. 1495–1507, March 2022, doi: 10.1109/TPWRS.2021.3107402. [CrossRef] [Google Scholar]
  12. R. Rana and S. Mishra, “Day-Ahead Scheduling of Electric Vehicles for Overloading Management in Active Distribution System via Web-Based Application,” in IEEE Systems Journal, vol. 13, no. 3, pp. 3422–3432, Sept. 2019, doi: 10.1109/JSYST.2018.2851618. [CrossRef] [Google Scholar]
  13. H. Xie, X. Teng, Y. Xu and Y. Wang, “Optimal Energy Storage Sizing for Networked Microgrids Considering Reliability and Resilience,” in IEEE Access, vol. 7, pp. 86336–86348, 2019, doi: 10.1109/ACCESS.2019.2922994. [CrossRef] [Google Scholar]
  14. L. Ma, L. Wang and Z. Liu, “Topology Identification of Distribution Networks Using a Split-EM Based Data-Driven Approach,” in IEEE Transactions on Power Systems, vol. 37, no. 3, pp. 2019–2031, May 2022, doi: 10.1109/TPWRS.2021.3119649. [CrossRef] [Google Scholar]
  15. A. Jabbarzadeh, B. Fahimnia and S. Rastegar, “Green and Resilient Design of Electricity Supply Chain Networks: A Multiobjective Robust Optimization Approach,” in IEEE Transactions on Engineering Management, vol. 66, no. 1, pp. 52–72, Feb. 2019, doi: 10.1109/TEM.2017.2749638. [CrossRef] [Google Scholar]
  16. Uchida, N., Ito, K., Ishida, T., & Shibata, Y. (2017). Adaptive Array Antenna Control Methods with Delay Tolerant Networking for the Winter Road Surveillance System. Journal of Internet Services and Information Security, 7(1), 2–13. [Google Scholar]
  17. H. Suleiman and M. Hamdan. (2021). Adaptive probabilistic model for energyefficient distance-based clustering in wsns (adapt-p):A leach-based analytical study. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 12(3), 65–86. [Google Scholar]
  18. Allin Geo A.V., et.al Power-efficient data fusion assurance using indirect anti-voting mechanism in wireless sensor networks, World Applied Sciences Journal, V-29, I-14, PP:42–47, 2014. [Google Scholar]

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