基于超图理论的直流外送系统连锁故障关键线路辨识OA

Aimed at the complex propagation mechanism of cascading failures in renewable energy-intensive DC trans⁃mission systems and the limitations of relying solely on single topological indicators for critical line identification,a crit⁃ical line identification method based on hypergraph theory is proposed.First,the evolution mechanism of AC/DC cas⁃cading failures is analyzed,revealing the temporal coupling path where initial AC faults trigger power flow redistribu⁃tion,DC blockades,and renewable energy disconnection.Second,a directed hypergraph model is constructed with fault chains as hyperedges and transmission lines as nodes,overcoming the limitations of traditional graph models in representing multi-dimensional correlations.Furthermore,by incorporating operational parameters such as load loss rate and renewable energy curtailment,the k-shell algorithm of the hypergraph is improved,establishing a dual-index for critical line identification that integrates both topological structure and operational status.Finally,simulations are conducted on a modified IEEE39-bus system.In the system collapse risk validation,targeted attacks on critical lines lead to a 41.3％ greater decline in network energy efficiency compared to random attacks.The results demonstrate that the modified criticality ranking achieves significantly improved accuracy,validating the effectiveness of the proposed method.