Abstract

In integrated cyber-physical power systems (CPPS), the malfunctions of cyber system deeply affect the dispatcher’s remedial action scheme, and thus have a significant impact on the reliability of the physical power system. The random failures of electrical devices in physical power system and the random outages of measurement and remote control in cyber system are both considered for the CPPS reliability evaluation in this paper. Firstly, the component outage models in physical, access, backbone and application layers are presented. Then, a linearized DC state estimation (SE) model is introduced and the SE errors incurred by measurement failures, i.e. bad and lost measurements, are interpreted. Moreover, the impact of SE errors and remote control failures on the corrective action scheme of the control center during the fault recovery process is simulated by a novel modification of the classical optimal load shedding (OLS) model. Finally, to verify the effectiveness and validity of the proposed CPPS reliability evaluation method, the communication network topologies of the cyber system for the RBTS and IEEE-RTS96 are designed, and then the reliability evaluation based on the presented component outage models and the novel modified OLS model are conducted by the non-sequential Monte Carlo simulation (NMCS).

摘要

在综合信息物理电力系统（CPPS）中，网络系统的故障会深刻影响调度员的补救行动方案，从而对物理电力系统的可靠性产生重大影响。本文在CPPS可靠性评估中考虑了物理电力系统中电气设备的随机故障和网络系统中测量和远程控制的随机中断。首先，介绍了物理层、接入层、主干层和应用层的组件中断模型。然后，引入了线性化直流状态估计 (SE) 模型，并解释了由测量失败（即错误和丢失的测量）引起的 SE 误差。而且，在故障恢复过程中，SE 错误和远程控制故障对控制中心纠正措施方案的影响通过经典优化减载 (OLS) 模型的新颖修改来模拟。最后，为了验证所提出的 CPPS 可靠性评估方法的有效性和有效性，设计了 RBTS 和 IEEE-RTS96 网络系统的通信网络拓扑结构，然后基于所提出的组件停运模型和新颖的改进模型进行可靠性评估。 OLS 模型是通过非序列蒙特卡罗模拟 (NMCS) 进行的。