Modern power systems are cyber-physical systems with increasing relevance and influence of information and communication technology. This influence comprises all processes, functional, and non-functional aspects like functional correctness, safety, security, and reliability. An example of a process is the data acquisition process. Questions focused in this paper are, first, how one can trust in process data in a data acquisition process of a highly-complex cyber-physical power system. Second, how can the trust in process data be integrated into a state estimation to achieve estimated results in a way that it can reflect trustworthiness of that input?We present the concept of an anomaly-sensitive state estimation that tackles these questions. The concept is based on a multi-faceted trust model for power system network assessment. Furthermore, we provide a proof of concept by enriching measurements in the context of the IEEE 39-bus system with reasonable trust values. The proof of concept shows the benefits but also the limitations of the approach.

中文翻译：

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电力系统状态的信任评估

现代电力系统是网络物理系统，其信息和通信技术的相关性和影响力日益增加。这种影响包括所有过程，功能和非功能方面，例如功能正确性，安全性，安全性和可靠性。过程的一个示例是数据获取过程。本文关注的问题是，首先，在高度复杂的网络物理电力系统的数据采集过程中，人们如何信任过程数据。其次，如何将过程数据中的信任度集成到状态估计中，以能够反映该输入的可信度的方式获得估计结果？我们提出了一种异常敏感状态估计的概念，该概念可以解决这些问题。该概念基于电力系统网络评估的多方面信任模型。此外，我们通过以合理的信任值丰富IEEE 39总线系统中的测量来提供概念证明。概念证明不仅显示了该方法的优点，还显示了其局限性。