李宏仲, 郭相辰. 基于Petri网的配电网信息物理系统可靠性评估[J]. 电网技术, 2023, 47(1): 347-359. DOI: 10.13335/j.1000-3673.pst.2021.2512
引用本文: 李宏仲, 郭相辰. 基于Petri网的配电网信息物理系统可靠性评估[J]. 电网技术, 2023, 47(1): 347-359. DOI: 10.13335/j.1000-3673.pst.2021.2512
LI Hongzhong, GUO Xiangchen. Reliability Evaluation of Cyber-physical System of Distribution Network Based on Petri Net[J]. Power System Technology, 2023, 47(1): 347-359. DOI: 10.13335/j.1000-3673.pst.2021.2512
Citation: LI Hongzhong, GUO Xiangchen. Reliability Evaluation of Cyber-physical System of Distribution Network Based on Petri Net[J]. Power System Technology, 2023, 47(1): 347-359. DOI: 10.13335/j.1000-3673.pst.2021.2512

基于Petri网的配电网信息物理系统可靠性评估

Reliability Evaluation of Cyber-physical System of Distribution Network Based on Petri Net

  • 摘要: 该文提出一种基于广义随机Petri网(generalized stochastic Petri nets,GSPN)的配电网信息物理系统(cyber-physical system,CPS)可靠性评估模型。首先,考虑配电网CPS的动态控制关系,基于GSPN的基本原理,构建配电网CPS的Petri网模型;之后,分析了信息攻击及信息元件自身故障对于配电网CPS运行可靠性的影响,并构建了系统元件的状态模型;然后,结合最大流理论,判断故障后各阶段的令牌数,并计算相应的可靠性指标。基于Petri网的评估方法,可以直观地刻画系统拓扑结构及元件状态变化,并通过动态方程推理故障后果,避免了故障后果分析的遍历过程,提升了评估效率。最后,以IEEE-RBTS BUS6配电系统为例开展仿真测试,验证了所提模型的有效性。

     

    Abstract: A reliability evaluation model of Cyber-Physical System (CPS) for distribution network based on generalized stochastic Petri nets (GSPN) is proposed. Firstly, considering the dynamic control relationship of CPS of distribution network, based on the basic principle of generalized stochastic Petri nets, the Petri net model of CPS of distribution network is constructed. Then, combined with the maximum flow theory, the number of tokens in each stage after the fault is judged, and the corresponding reliability index is calculated. The evaluation method based on Petri net can intuitively describe the system topology and component state changes, and infer the failure consequences through dynamic equations, avoiding the traversal process of failure consequences analysis and improving the evaluation efficiency. Finally, taking the IEEE-RBTS BUS6 power distribution system as an example, the simulation test is carried out to verify the validity of the proposed model.

     

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