广东电力2025，Vol.38Issue(2)：28-37,10.DOI:10.3969/j.issn.1007-290X.2025.02.004
面向恶意攻击与级联失效的电力调度数据网络鲁棒性增强方法
Robustness Enhancement Method for Power Dispatching Data Network Against Malicious Attacks and Cascading Failures
摘要
Abstract
A robust optimization method for malicious attacks and cascading failures is proposed to solve the failure or collapse of power dispatching data network under non extreme conditions such as bad weather,equipment failure,malicious attacks,etc.From the perspective of ex ante optimization,a resistance optimization model for malicious attacks is constructed,a network topology optimization algorithm based on the idea of increasing edges is proposed,and an attack resistance enhancement scheme is obtained with a heuristic strategy using the principle of connectivity.Meanwhile,a cascade failure recovery model based on node load is constructed in the cascade failure scenario,a fault propagation model for load redistribution is studied,and a node topology importance-based integrated greedy search recovery algorithm based on integrated node topological importance is proposed to achieve network connectivity recovery after cascade failure.Experiments are conducted based on the Barabási-Albert(BA)network and a regional power dispatch data network to validate the effectiveness of the proposed topology optimization algorithm and recovery strategies.The results demonstrate that after adding 1%of edges,the BA network exhibits a 12.9%increase in resilience against degree-based attacks and a 6.7%increase against generalized network dismantling(GND)attacks.In the cascading failure scenarios,compared with the node-betweenness-based recovery strategy,the proposed node-importance-based recovery strategy can restore network connectivity more effectively under the condition of recovering the same number of nodes.关键词
恶意攻击/级联失效/拓扑优化/恢复策略/鲁棒性优化Key words
malicious attacks/cascade failure/topology optimization/recovery strategy/robustness optimization分类
动力与电气工程引用本文复制引用
陈洪,陈惠文,冯良坤,林碧海,林睫菲,刘延华..面向恶意攻击与级联失效的电力调度数据网络鲁棒性增强方法[J].广东电力,2025,38(2):28-37,10.基金项目
国家自然科学基金项目(62002062) （62002062）
