Multi-resource Cooperative Emergency Power Restoration Strategy Considering the Coupling of Urban Road Networks and Distribution Networks

Extreme events such as natural disasters and cyber data attacks can bring huge impacts to urban distribution networks, which in turn can lead to large-scale power outages. There are flexible resources such as distributed wind and solar storage and many electric vehicles in the urban distribution network. It has a massive potential for emergency support of power supply after a distribution network failure. Based on this, this paper proposes a multi-resource emergency power restoration strategy considering the coupling of urban road network and distribution network. First, the emergency power supply model of a public parking lot containing EVs is constructed, and the EVs with power supply potential are screened and then aggregated. Second, a road block model considering the effect of traffic congestion is built to fit the traveling time in the actual dispatch of emergency power supply vehicles. Then, the cost model of multi-resource scheduling under distribution network faults is constructed with the objectives of load curtailment loss and minimizing resource scheduling cost. Finally, simulation analysis is carried out through IEEE 33-node distribution network and 32-node transportation network as examples. The results show that the multi-resource fault recovery strategy in this paper can reduce load curtailment losses and achieve efficient utilization and economic dispatch of multi-contingency resources with improved reliability.