| In recent years,with the continuous progress of various energy conversion and coupling technologies,integrated energy systems centered around electricity have developed rapidly.At the same time,as the coupling between cyber system and physical system continues to deepen,the power system gradually transforms into an energy cyber physical system,and the coupling of multiple elements also brings greater challenges to the control and operation of the system.This paper focuses on the post disaster recovery strategy of the power-gas integrated energy cyber physical systems,considering the coupling characteristics between cyber system and physical system,as well as the energy interaction characteristics between the power system and natural gas system.This paper conducts research on how to coordinate multiple recovery resources to reduce system losses after disasters occur.The main research content and contributions of this paper are as follows:(1)A two-stage sequential recovery strategy for resilient distribution cyber physical system after disasters is proposed.In the first stage,a mixed integer linear programming model of cyber and physical system collaborative recovery is established to achieve effective load recovery based on the coupling characteristics of traffic network,cyber network and physical network.In addition,a "repair event triggering" mechanism has been proposed to facilitate effective and collaborative optimization among physical maintenance crews,cyber maintenance crews,and a distribution network recovery model.In the second stage,physical maintenance crews and cyber maintenance crews are rescheduled to repair the remaining damaged components with the lowest time cost after all the power supplies are restored.Finally,simulation analysis verified that the recovery strategy proposed in this paper can achieve collaborative optimization between cyber system and physical system,reduce post disaster load losses,and enhance resilience of the distribution network.(2)A collaborative recovery strategy for power-gas integrated energy cyber physical systems considering the operational characteristics of P2G is proposed.On the basis of the cyber-physical collaborative recovery model,analyze the mechanism of different energy forms on post disaster recovery of distribution networks,and establish an energy network model of power gas coupling;In response to the phenomenon of low utilization rate of P2G,a small capacity high-pressure hydrogen storage device is established.On the premise of meeting economic requirements,the hydrogen storage device is utilized to achieve partial decoupling of P2H and methanation model;A refined model for P2G is established by combining its delay model with a different time steps disaster recovery model to address the start stop time issue of the methanation model in P2G.Finally,the mechanism of the natural gas system in the post disaster distribution network recovery process is verified through simulation analysis,and the effectiveness and necessity of the proposed collaborative recovery strategy considering the operational characteristics of P2G were demonstrated.(3)A dynamic collaborative recovery strategy for power-gas integrated energy cyber physical systems considering the dynamic characteristics of the network is proposed.On the basis of the original integrated energy cyber physical system model of power and gas,considering the differences in response time scales between the power system and the natural gas system,a network equation considering the dynamic characteristics of natural gas is established based on fluid dynamics,and linearized using the Wendroff difference method;Considering that the driving speed and time of the real traffic network are related to various factors,a road resistance function model of the road traffic network is established;Considering that the system failure situation is not static after a disaster,and considering the dynamic changes in the transportation network,a dynamic recovery model for the power-gas integrated energy cyber physical system is established.Finally,the effectiveness of the established traffic network model is verified through simulation,and the proposed strategy is validated to effectively reduce load losses and improve system resilience in the case of multi time faults in the system. |