Research on disaster recovery technology of cloud distribution power system based on distributed sensing and centralized decision

Bo Li; Huijuan Tan; Ruifeng Zhao; Haobin Li; Wenjie Zheng

doi:10.1117/12.2635180

25 April 2022 Research on disaster recovery technology of cloud distribution power system based on distributed sensing and centralized decision

Bo Li, Huijuan Tan, Ruifeng Zhao, Haobin Li, Wenjie Zheng

Author Affiliations +

Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 122442N (2022) https://doi.org/10.1117/12.2635180
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China

Abstract

With the increasing dependence on power distribution systems, new survivability methods are needed to reduce the impact of disasters on power distribution systems. As the software-defined network (SDN) promotes the programmability of the network, it contributes to improving the disaster resistance of the power system. The existing SDN controller architecture is optimized only for limited failures, and does not consider the problem of large-scale power distribution disaster failures. In order to solve this problem, it is proposed here to design the control plane as a virtual network, and use distributed perception and centralized decision-making to solve the problem of disaster resistance.The appropriate controller mapping is selected on the physical network so that the connection between the controllers and the switch to the controller will not be damaged by the physical infrastructure failure caused by the disaster. . The experimental results show that the proposed method has better disaster resistance. [1]

Citation Download Citation

Bo Li, Huijuan Tan, Ruifeng Zhao, Haobin Li, and Wenjie Zheng "Research on disaster recovery technology of cloud distribution power system based on distributed sensing and centralized decision", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 122442N (25 April 2022); https://doi.org/10.1117/12.2635180

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