Applying Trust for Operational States of ICT-Enabled Power Grid Services

IF 2.2 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

ACM Transactions on Autonomous and Adaptive Systems Pub Date : 2024-04-03 DOI:10.1145/3654672

Michael Brand, Anand Narayan, Sebastian Lehnhoff

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引用次数: 0

Abstract

Digitalization enables the automation required to operate modern cyber-physical energy systems (CPESs), leading to a shift from hierarchical to organic systems. However, digitalization increases the number of factors affecting the state of a CPES (e.g., software bugs and cyber threats). In addition to established factors like functional correctness, others like security become relevant but are yet to be integrated into an operational viewpoint, i.e. a holistic perspective on the system state. Trust in organic computing is an approach to gain a holistic view of the state of systems. It consists of several facets (e.g., functional correctness, security, and reliability), which can be used to assess the state of CPES. Therefore, a trust assessment on all levels can contribute to a coherent state assessment. This paper focuses on the trust in ICT-enabled grid services in a CPES. These are essential for operating the CPES, and their performance relies on various data aspects like availability, timeliness, and correctness. This paper proposes to assess the trust in involved components and data to estimate data correctness, which is crucial for grid services. The assessment is presented considering two exemplary grid services, namely state estimation and coordinated voltage control. Furthermore, the interpretation of different trust facets is also discussed.

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将信任应用于信息和通信技术驱动的电网服务的运行状态

数字化实现了现代网络物理能源系统（CPES）运行所需的自动化，导致系统从分层向有机转变。然而，数字化增加了影响 CPES 状态的因素数量（如软件错误和网络威胁）。除了功能正确性等既有因素外，安全性等其他因素也变得十分重要，但这些因素尚未纳入运行视角，即系统状态的整体视角。有机计算中的信任是一种全面了解系统状态的方法。它包括几个方面（如功能正确性、安全性和可靠性），可用于评估 CPES 的状态。因此，对所有层面的信任评估都有助于进行一致的状态评估。本文重点关注 CPES 中由 ICT 支持的电网服务的信任度。这些服务对 CPES 的运行至关重要，其性能依赖于各种数据，如可用性、及时性和正确性。本文建议对相关组件和数据的信任度进行评估，以估计数据的正确性，这对电网服务至关重要。本文考虑了两种典型的电网服务，即状态估计和协调电压控制，提出了评估方法。此外，还讨论了不同信任面的解释。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACM Transactions on Autonomous and Adaptive Systems 工程技术-计算机：理论方法

CiteScore

4.80

自引率

7.40%

发文量

审稿时长

>12 weeks

期刊介绍： TAAS addresses research on autonomous and adaptive systems being undertaken by an increasingly interdisciplinary research community -- and provides a common platform under which this work can be published and disseminated. TAAS encourages contributions aimed at supporting the understanding, development, and control of such systems and of their behaviors. TAAS addresses research on autonomous and adaptive systems being undertaken by an increasingly interdisciplinary research community - and provides a common platform under which this work can be published and disseminated. TAAS encourages contributions aimed at supporting the understanding, development, and control of such systems and of their behaviors. Contributions are expected to be based on sound and innovative theoretical models, algorithms, engineering and programming techniques, infrastructures and systems, or technological and application experiences.