论文标题
CPES-QSM：一种定量方法，用于安全操作网络物理能源系统
CPES-QSM: A Quantitative Method Towards the Secure Operation of Cyber-Physical Energy Systems
论文作者
论文摘要
由于现代通信和图像设备（IoT）设备的整合，电力系统正在发展为网络物理能源系统（CPE）。 CPES安全评估具有挑战性，因为物理和网络层通常不被整体视为。现有文献仅着眼于优化物理或网络层的操作，同时忽略它们之间的相互作用。本文提出了一个度量，即网络物理能源系统定量安全度量（CPES-QSM），该指标量化了三个领域的网络和物理层之间的相互作用：电气，网络风险和网络拓扑。还提出了一种将所提出的网络金属纳入运营决策中的方法，它是通过制定一个网络约束的AC最佳功率流（C-ACOPF）来考虑所有CPES层状态的方法。网络约束的ACOPF通过结合了诸如电压稳定性，意外情况，图形理论和IoT网络风险等因素，同时使用多标准决策技术，从而考虑了物理和网络网络的脆弱性。使用标准IEEE测试系统进行仿真研究，以评估拟议的度量标准和C-ACOPF公式的有效性。
Power systems are evolving into cyber-physical energy systems (CPES) due to the integration of modern communication and Internet-of-Things (IoT) devices. CPES security evaluation is challenging since the physical and cyber layers are often not considered holistically. Existing literature focuses on only optimizing the operation of either the physical or cyber layer while ignoring the interactions between them. This paper proposes a metric, the Cyber-Physical Energy System Quantitative Security Metric (CPES-QSM), that quantifies the interaction between the cyber and physical layers across three domains: electrical, cyber-risk, and network topology. A method for incorporating the proposed cyber-metric into operational decisions is also proposed by formulating a cyber-constrained AC optimal power flow (C-ACOPF) that considers the status of all the CPES layers. The cyber-constrained ACOPF considers the vulnerabilities of physical and cyber networks by incorporating factors such as voltage stability, contingencies, graph-theory, and IoT cyber risks, while using a multi-criteria decision-making technique. Simulation studies are conducted using standard IEEE test systems to evaluate the effectiveness of the proposed metric and the C-ACOPF formulation.
