智能电网的多米诺骨牌:相互依赖的网络架构中系统行为的实证研究

Xiang Lu, Wenye Wang, Jianfeng Ma, Limin Sun
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引用次数: 17

摘要

智能电网具有独特的网络结构,由两个相互耦合、相互依赖的网络组成,包括通信网和电网。通信网作为信息传播的基础设施,向电网传递控制命令和设备运行状态,而电网则为通信网提供能量支持。然而,除了这种相互关系之外,两个耦合网络也给智能电网带来了更多的级联故障威胁,对系统可靠性造成威胁,在通信设备安装备用电源的情况下,这种威胁会更加严重。本文详细介绍了智能电网的系统结构,并研究了耦合网络间迭代故障传播的复杂演化过程。分析认为,存在潜在的多米诺骨牌效应,使原有的电力故障在大范围内扩散。为了验证我们的分析,我们设计并实现了一个集成通信网络仿真和电力网络仿真的联合仿真框架。通过实验,我们量化了智能电网中潜在故障扩散可能性的两个关键指标。我们的工作再现了耦合网络架构中隐含的复杂网络行为,并为描述迭代故障传播这一有趣现象的细粒度数学模型提供了初步统计结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Domino of the smart grid: An empirical study of system behaviors in the interdependent network architecture
The smart grid features a unique network architecture that consists of two coupled and interdependent networks, including the communication network and the power network. The communication network serves as the infrastructure of information disseminations to deliver control commands and device running states for the power network, whereas the power network supplies the energy to support the communication network. Nevertheless, besides such an reciprocal relationship, the two coupled networks also bring more threats of cascading failures to the smart grid against the system reliability, which will be more serious in the situation that communication devices are installed with back-up power supplies. In this paper, we present a detailed review of the system architecture of the smart grid and investigate the complicated evolution process of iterative failures' propagations between the coupled networks. Our analysis claim that there exists a potential domino affect to make original power faults be propagated in a wide area. To testify our analysis, we design and implement a co-simulation framework to integrate the communication network simulation with the power network simulation. Through experiments, we quantify two critical metrics to indicate the possibility of the potential fault spreading in the smart grid. Our work replays the complicated network behaviors implied in the coupled network architecture and provides preliminary statistical results towards a fine-grained mathematical model to describe the interesting phenomenon of iterative fault propagations.
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