计及跨域连锁故障的电力信息物理系统N-k协同故障场景筛选双层优化模型OA

The classic N-k security analysis method often selects the source fault accident set with the objective of maximizing system impact,ignoring the synergistic amplification effect of cyber-physical interaction and the propagation process of cross-domain cascading failures,resulting in a tendency to be overly conservative.Therefore,the paper first characterizes the changes in system topology and operating states in the source of cyber-physical collaborative faults and cross-domain cascading failures propagation,revealing the impact mechanism of system observability and controllability on cross-domain fault propagation.Secondly,establish a bi-level optimization model for selecting N-k coordinated fault scenarios considering inter-domain cascading failures.The upper layer aims to maximize load loss and identify high-risk cyber-physical collaborative fault scenarios and cross-domain cascading failure propagation paths.The lower layer aims to minimize load loss and make optimal adjustments to controllable generators and loads.Then,a network flow algorithm is used to quickly solve the proposed model.Finally,simulation verifications are conducted on the IEEE 39 bus system and the 500 kV bus system in a Chinese province,and results verify that the proposed model can effectively identify high-risk high-order collaborative fault combinations and cross-domain cascading failure propagation paths in the system;When the scale of communication channel failures is small,controllability plays a dominant role in fault propagation,and priority should be given to increasing backup channels for control services.When the scale of communication channel failures is large,observability plays a dominant role in fault propagation,and priority should be given to increasing backup channels for measurement services.