Graph-based Cyber Security Analysis of State Estimation in Smart Power Grid

TL;DR

This paper introduces a graph-based framework for analyzing cyber-security in power system state estimation, offering visual insights and efficient algorithms to enhance smart grid security against cyber threats.

Contribution

The paper presents a novel graph-based approach for cyber-security analysis in power system state estimation, improving visualization and computational efficiency over traditional methods.

Findings

Graph-based security analysis provides intuitive visualization.

Graph algorithms enable efficient security solutions.

Future research directions are identified for smart grid security.

Abstract

Smart power grid enables intelligent automation at all levels of power system operation, from electricity generation at power plants to power usage at households. The key enabling factor of an efficient smart grid is its built-in information and communication technology (ICT) that monitors the real-time system operating state and makes control decisions accordingly. As an important building block of the ICT system, power system state estimation is of critical importance to maintain normal operation of the smart grid, which, however, is under mounting threat from potential cyber attacks. In this article, we introduce a graph-based framework for performing cyber-security analysis in power system state estimation. Compared to conventional arithmetic-based security analysis, the graphical characterization of state estimation security provides intuitive visualization of some complex problem structures and enables efficient graphical solution algorithms, which are useful for both defending and attacking the ICT system of smart grid. We also highlight several promising future research directions on graph-based security analysis and its applications in smart power grid.