Distributionally Robust Resilience Enhancement Model for the Power Distribution System Considering the Uncertainty of Natural Disasters
- Resource Type
- Conference
- Authors
- Yi, Lin; Meng, Li; Wei, Wu; Jingwei, Xue; Jiawei, Sun; Zekai, Wang; Tao, Ding
- Source
- 2023 IEEE International Conference on Power Science and Technology (ICPST) Power Science and Technology (ICPST), 2023 IEEE International Conference on. :289-293 May, 2023
- Subject
- Power, Energy and Industry Applications
Economics
Uncertainty
Power distribution
Power system reliability
Resilience
power distribution system resilience
reinforcement strategy
natural disasters
distributionally robust approach
column-and-constraint generation algorithm
- Language
Natural disasters with high risk and lower occurrence probability have attracted much more concern in recent years. In this paper, we proposed a distributionally robust resilience enhancement model for the distribution power system, in which the uncertainties of natural disasters are also taken into consideration. The ambiguity of the DRRM is constructed based on the branch outage probability, and the nested CCG algorithm is applied to solve the proposed model. The DRRM has been verified in the IEEE 33-bus distribution system. Case studies showed that the proposed model can reach a more effective and economic reinforcement strategy for the power distribution system.