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Component-Level Reliability Evaluation Model for Cyber Power Devices
IEEE Transactions on Smart Grid ( IF 9.6 ) Pub Date : 2020-08-13 , DOI: 10.1109/tsg.2020.3016524
Thanatheepan Balachandran , Arun-Kaarthick Manoharan , Visvakumar Aravinthan , Chanan Singh

Reliability evaluation of power components in the presence of automation devices and cyber links is critical for the improved performance of a smart grid. This work presents a model representing a cyber power component for reliability studies, incorporating interdependency and common-cause failure while reducing computational complexity. Power-component failure, automation-component failure, communication failure, communication delay, and cyberattack are incorporated to develop a comprehensive component-level reliability-evaluation model. A multistate model is proposed with 36 states for a cyber-enabled power component by integrating cyber links as a part of the smart component. Based on the power system reliability analysis, this model is reduced to a 12-state model. Finally, a two-state model is presented for its practical adaptation to specific applications. Due to the nature of the smart component, the following basic applications are considered in this work: (i) health monitoring, (ii) real-time monitoring, and (iii) actuation. A sensitivity analysis is carried out to evaluate the impact of cyber failure and cyberattacks on the reliability of the smart component. Model-reduction techniques, reliability-evaluation procedures, and example case study are provided in order to validate the proposed method.

中文翻译:

网络电源设备的组件级可靠性评估模型

在存在自动化设备和网络链接的情况下,对电源组件的可靠性进行评估对于提高智能电网的性能至关重要。这项工作提出了一个代表可靠性研究的网络电源组件的模型,该模型在减少计算复杂性的同时,包含了相互依赖性和常见原因故障。结合了电源组件故障,自动化组件故障,通信故障,通信延迟和网络攻击,以开发全面的组件级可靠性评估模型。通过将网络链接集成为智能组件的一部分,针对具有网络功能的电源组件,提出了一个具有36个状态的多状态模型。基于电力系统可靠性分析,此模型简化为12状态模型。最后,提出了一种针对特定应用的实际状态的两态模型。由于智能组件的性质,在这项工作中考虑了以下基本应用:(i)健康监控,(ii)实时监控和(iii)启动。进行了敏感性分析,以评估网络故障和网络攻击对智能组件可靠性的影响。为了验证所提出的方法,提供了模型简化技术,可靠性评估程序和案例研究。进行了敏感性分析,以评估网络故障和网络攻击对智能组件可靠性的影响。为了验证所提出的方法,提供了模型简化技术,可靠性评估程序和案例研究。进行了敏感性分析,以评估网络故障和网络攻击对智能组件可靠性的影响。为了验证所提出的方法,提供了模型简化技术,可靠性评估程序和案例研究。
更新日期:2020-08-13
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