A graph model for enhancing situational awareness in power systems

Mirjavad Hashemi Gavgani, S. Eftekharnejad
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引用次数: 4

Abstract

As societies are becoming more dependent on the power grids, the security issues and blackout threats are more emphasized. This paper proposes a new graph model for online visualization and assessment of power grid security. The proposed model integrates topology and power flow information to estimate and visualize interdependencies between the lines in the form of line dependency graph (LDG) and immediate threats graph (ITG). These models enable the system operator to predict the impact of line outage and identify the most vulnerable and critical links in the power system. Line Vulnerability Index (LVI) and Line Criticality Index (LCI) are introduced as two indices extracted from LDG to aid the operator in decision making and contingency selection. This package can be useful in enhancing situational awareness in power grid operation by visualization and estimation of system threats. The proposed approach is tested for security analysis of IEEE 30-bus and IEEE 118-bus systems and the results are discussed.
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电力系统态势感知增强的图形模型
随着社会对电网的依赖程度越来越高,安全问题和停电威胁也越来越受到重视。本文提出了一种新的电网安全在线可视化与评估图模型。该模型集成了拓扑信息和潮流信息,以线路依赖图(LDG)和即时威胁图(ITG)的形式估计和可视化线路之间的相互依赖关系。这些模型使系统操作员能够预测线路中断的影响,并确定电力系统中最脆弱和最关键的环节。引入线路脆弱性指数(LVI)和线路临界性指数(LCI)作为从LDG中提取的两个指标,帮助运营商进行决策和应急选择。该软件包可以通过可视化和系统威胁估计来增强电网运行中的态势感知。在ieee30总线和ieee118总线系统的安全分析中对该方法进行了测试,并对结果进行了讨论。
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