用于网络物理电力系统突发事件和脆弱性评估的虚拟物理电力流方法

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
IET Smart Grid Pub Date : 2023-11-28 DOI:10.1049/stg2.12143
Dongmeng Qiu, Rui Zhang, Zhuoran Zhou, Jinning Zhang, Xin Zhang
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引用次数: 0

摘要

随着信息和通信技术的融合,传统电力系统已发展成为网络物理电力系统(CPPS)。CPPS 可视为一个典型的分层控制系统,可分为两个部分:电网和通信网络。CPPS 将面临新的薄弱环节,这些薄弱环节可能导致网络突发事件和连锁后果。为应对这一挑战,我们提出了一种虚拟-物理功率流(VPPF)方法,用于 CPPS 的脆弱性评估。该方法包含双重电力流,一个是模拟决策单元的虚拟电力流,另一个是模拟物理电力流。此外,还提出了一种新颖的分层控制模型,包括 CPPS 的四个层:物理层、二次设备层、区域控制层和国家控制层。该模型基于 IEEE 测试案例,使用 MATPOWER 提供的数据和结构。拒绝服务(DoS)和虚假数据注入(FDI)被模拟为 CPPS 中的两种主要网络攻击。提出了一种新的脆弱性指数,由系统电压、网络延迟和节点间度三个关键指标组成。这是一个全面的自适应指数,因为它包含了网络和物理系统特征,可适用于多种类型的网络攻击。脆弱性评估结果在 CPPS 的国家和地区控制结构中进行比较,以评估网络物理节点的脆弱性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Virtual-physical power flow method for cyber-physical power system contingency and vulnerability assessment

Virtual-physical power flow method for cyber-physical power system contingency and vulnerability assessment

Traditional power systems have evolved into cyber-physical power systems (CPPS) with the integration of information and communication technologies. CPPS can be considered as a typical hierarchical control system that can be divided into two parts: the power grid and the communication network. CPPS will face new vulnerabilities which can have network contingencies and cascading consequences. To address this challenge, a virtual-physical power flow (VPPF) method is proposed for the vulnerability assessment of CPPS. The proposed method contains dual power flows, one is to simulate a virtual power flow from decision-making units, and the other is to simulate a physical power flow. In addition, a novel hierarchical control model is proposed that includes four layers of CPPS: the physical layer, the secondary device layer, the regional control layer, and the national control layer. The model is based on IEEE test cases using data and structures provided by MATPOWER. Denial-of-service (DoS) and false data injection (FDI) are simulated as two major cyber-attacks in CPPS. A novel vulnerability index is proposed that consists of system voltage, network latency, and node betweenness as three key indicators. This is a comprehensive and adaptive index because it encompasses both cyber and physical system characteristics and can be applied to several types of cyber-attacks. The results of the vulnerability assessment are compared in national and regional control structures of CPPS to evaluate the vulnerability of cyber-physical nodes.

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来源期刊
IET Smart Grid
IET Smart Grid Computer Science-Computer Networks and Communications
CiteScore
6.70
自引率
4.30%
发文量
41
审稿时长
29 weeks
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