Multi-Period Dynamic Power Supply Recovery Strategy for Distribution Networks Considering Cyber-Physical-Traffic Network Coupling
Xiaorong Zhu, Yu Si
Abstract
The cyber-physical deep coupling exacerbates the challenge of restoring the load power supply of the distribution network (DN) after a power outage. Serving as interface devices between the DN and the traffic network (TN), mobile energy storage systems (MESSs) play a crucial role in load recovery. To enhance the emergency response, a multi-period dynamic power supply restoration strategy for DN is proposed in this article, which considers the coupling of physical, cyber and traffic networks. Firstly, a power supply restoration model of the DN is established. This model includes an objective function, load of DN, wind-photovoltaic-energy storage system (WPESS) and its topology constraints, operation constraints of MESSs, and information network (IN) constraints. The virtual power flow theory is employed to ensure the radial topology of the DN, while the second-order cone relaxation method is utilized for branch power flow convexification. The operation status is studied, and the traffic model of the IN is established using the network flow theory. Secondly, a dynamic transmission model of MESSs is created. The Floyd algorithm is chosen to determine the shortest path. Finally, case studies are conducted to demonstrate the efficacy and superiority of the proposed strategy.