Litcius/Paper detail

TOTAL: Optimal Protection Strategy Against Perfect and Imperfect False Data Injection Attacks on Power Grid Cyber–Physical Systems

Jiwei Tian, Buhong Wang, Tengyao Li, Fute Shang, Kunrui Cao, Rongxiao Guo

2020IEEE Internet of Things Journal35 citationsDOI

Abstract

This article explores the problem of protection against false data injection attacks (FDIAs) on the power system state estimation. Although many research works have been reported previously to solve the same problem, yet most of them are only for perfect FDIAs. To address the problem reasonably, all related factors influencing the success probability and corresponding attack impact of imperfect FDIAs should also be considered. Based on such considerations, a topology, parameter, accuracy, level (TOTAL) protection strategy considering all corresponding factors is proposed. The TOTAL protection strategy minimizes the attack impact of typical imperfect FDIAs (single measurement attacks) while defending against typical perfect FDIAs (single-state variable attacks). Depending on whether the protection scheme contains phasor measurement units (PMUs), we formulate the meter selection as a linear binary programming or integer programming problem, which can be solved by suitable solvers. The proposed strategy is compared with the existing methods in the literature and evaluated using the standard IEEE test cases.

Topics & Concepts

ImperfectComputer sciencePhasorUnits of measurementCyber-physical systemElectric power systemInteger programmingGridMathematical optimizationLinear programmingPerfect informationBinary numberPower (physics)AlgorithmMathematicsMathematical economicsPhilosophyGeometryArithmeticLinguisticsQuantum mechanicsPhysicsOperating systemSmart Grid Security and ResilienceElectrostatic Discharge in ElectronicsElectricity Theft Detection Techniques