计及负荷优化重配的电力CPS可生存性量化评估

Quantitative Survivability Assessment of Power Cyber-Physical System Considering Optimized Load Redistribution

针对电力信息物理融合系统(CPS)规模不断扩大且现有级联失效模型忽略信息流和潮流转移特性,使得可生存性难以快速有效评估的问题,计及负荷优化重配对电力CPS可生存性进行量化评估。首先,根据系统拓扑结构和关联关系,通过定义度函数和电气介数建立了度—介加权电力CPS关联矩阵,实现了耦合CPS的形式化表征。然后,从CPS级联失效的结构连通性变化和风险传播范围两个维度出发,基于节点负荷容量限制、信息流择优分配策略、潮流优化方程和系统安全运行等约束条件设计了可生存性评估模型。最后,采用混沌Lévy搜索萤火虫算法对评估模型进行高效求解。通过算例分析,有效量化评估了电力CPS的可生存性并提高了大规模耦合系统的评估效率。

Because the scale of power cyber-physical system(CPS)is growing,and the existing cascade failure model ignores the information flow and the power flow transfer characteristics,it is difficult to quickly and effectively assess the survivability.Aiming at this problem,this paper proposes a quantitative survivability assessment method of power CPS considering load optimized redistribution.Firstly,according to the system topology and association,the degree-media weighted correlation matrix of power CPS is established by defining the degree function and the electrical interface,and the formal representation of coupled CPS is realized.Then,based on the structural connectivity change and risk propagation range of CPS cascade failure,the survivability assessment model is designed based on the constraints such as node load capacity limitation,optimal allocation strategy of information flow,power flow optimization equation and system safety operation.Finally,the chaotic Lévy search firefly algorithm is proposed to efficiently solve the assessment model.The case study shows that the assessment method can effectively quantify the survivability of power CPS and improve the assessment efficiency of large-scale coupled systems.