摘要为保证电力信息物理系统(Cyber-Physical Power System,CPPS)安全稳定运行,对其拓扑结构及鲁棒性进行研究。基于复杂网络理论,提出一种全方位CPPS鲁棒性评估框架,建立拓扑结构和功能级联故障模型,并给出相应的系统性能量化指标,实现对系统鲁棒性精准、高效评估。结合Louvain算法与重力引力中心性提出了考虑网络底层拓扑结构的节点重要性辨识方法,根据节点重要性对系统实施灾前保护,并对比不同保护策略下系统的鲁棒性。最后,用IEEE118网络构建CPPS模型,模拟系统在不同情况下的状态响应,结果验证了所提方法的有效性。
Abstract：To ensure the secure and stable operation of Cyber-Physical Power System (CPPS), research on their topology and robustness is essential. Based on the theory of complex networks, a comprehensive CPPS robustness evaluation framework is proposed, which establishes topological structures and functional cascading failure models, along with corresponding performance quantification metrics. By combining the Louvain algorithm and gravity centrality, a method for identifying the importance of nodes considering the underlying network topology is proposed. Pre-disaster protection measures are implemented based on node importance, and the robustness of the system is compared under different protection strategies. Finally, the CPPS model constructed using the IEEE118 network is used to simulate the system's state response under different conditions, verifying the effectiveness of the proposed method.
胡福年, 杨伟丹, 陈军. 基于关键节点的电力信息物理系统鲁棒性评估[J]. 复杂系统与复杂性科学, 2025, 22(1): 43-49.
HU Funian, YANG Weidan, CHEN Jun. Robustness Assessment of Cyber-Physical Power System Based on Critical Nodes[J]. Complex Systems and Complexity Science, 2025, 22(1): 43-49.
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