Guo Hengdao, Yu Samson S, Iu Herbert H C, Fernando Tyrone, Zheng Ciyan
School of Electrical, Electronic and Computer Engineering, University of Western Australia, 35 Stirling Highway, Perth, WA 6009, Australia.
Chaos. 2019 May;29(5):053111. doi: 10.1063/1.5092629.
The modern electric power grid is evolving rapidly into such a state that distributed controllers and two-way energy and information flow are replacing the traditional paradigm of electricity distribution and energy management. Therefore, a power grid coupled with a communication network is playing a pivotal role in establishing modern electric power systems. Previous cascading failure analysis in power systems focused more on the physical network, while falling short of investigations on the coupling effect of interdependency of the integrated electricity and communication networks, i.e., cyber-physical power systems. To address such a pressing issue, this study introduces a novel stochastic cascading failure model, considering the interdependency between the cyber network and power network. A multiagent system and a novel protection relay model are incorporated into the proposed model. To apply the proposed analytical method, a test power system, the IEEE 68-bs power system, is used to study the impacts of a range of interdependencies and cyber network topological structures on the cascading failure. Simulation results show the necessity and effects of consideration of cyber communication network when investigating power system cascading failures. The study also provides useful information on robustness and vulnerability of a particular power grid, given different communication topologies and interdependencies.
分布式控制器以及双向的能量和信息流正在取代传统的配电和能源管理模式。因此，与通信网络相结合的电网在建立现代电力系统中起着关键作用。以往电力系统中的连锁故障分析更多地集中在物理网络上，而缺乏对综合电力和通信网络（即信息物理电力系统）相互依存耦合效应的研究。为了解决这一紧迫问题，本研究引入了一种新颖的随机连锁故障模型，考虑了信息网络和电力网络之间的相互依存关系。所提出的模型纳入了多智能体系统和一种新颖的继电保护模型。为了应用所提出的分析方法，使用了一个测试电力系统——IEEE 68-bs电力系统，来研究一系列相互依存关系和信息网络拓扑结构对连锁故障的影响。仿真结果表明，在研究电力系统连锁故障时考虑信息通信网络的必要性和效果。该研究还给出了在不同通信拓扑结构和相互依存关系下，特定电网的鲁棒性和脆弱性的有用信息。
