Abstract
Natural disasters (such as snowstorms, typhoons, etc.) can result in a large number of physical failures in distribution network. Optimizing the rush repair strategy of physical failures in post-disaster restoration can reduce economic loss and accelerate the restoration process. In current research, the optimization of repair path and strategy for a single repair team is studied, while the complexity of rush repair and the travel cost are not fully considered, and the effect of tie lines in restoration cannot be ignored. Therefore, an optimization of rush repair strategy method is established in this paper considering the combined action of repair teams, tie lines and the dynamic change of the repair strategy caused by network reconfiguration. With the objective of minimizing the total loss during the restoration, the status of repair teams, failures and tie lines are employed as decision variables. Next, the rush repair model is solved through a two-layer solution strategy. Simulated Annealing Algorithm and Genetic Algorithm are adopted respectively to solve the two layers. So that, the best rush repair strategy can be obtained. Finally, the efficiency of the proposed approach is demonstrated by testing on PG&E 69 node system.
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Acknowledgements
Research supported by Science and Technology Project of SGCC (Key Technology of resilient distribution network for Enhancing Dynamic restoration and commanding under extreme disaster, 52130418000L) and State Key Laboratory of Smart Grid Protection and Control.
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Yu, C., Li, S., Wu, H., Chang, K., Liu, B. (2020). Optimization of Post-disaster Rush Repair Strategy for Distribution Network Considering Network Reconfiguration. In: Xue, Y., Zheng, Y., Rahman, S. (eds) Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control. Lecture Notes in Electrical Engineering, vol 585. Springer, Singapore. https://doi.org/10.1007/978-981-13-9783-7_67
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DOI: https://doi.org/10.1007/978-981-13-9783-7_67
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