On a hierarchical false data injection attack on power system state estimation

Qinyu Yang, Jie Yang, Wei Yu, Nan Zhang, Wei Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Scopus citations

Abstract

The operating state estimation of power system is a critical process for providing a best-fit state estimation based on the meter measurements in the field and the configuration of power-grid network. To deal with the bad meter measurements caused by various faults in state estimation, power system researchers have developed numerous detection schemes in the past. Liu et al. [1] recently proposed a new stealthy false data injection attack, which can bypass the existing bad data detection schemes and arbitrarily manipulate the states of power system, posing dangerous threats to the control of a power system. Nevertheless, their results did not show the detailed information of meters to be compromised. In this paper, we tend to tackle this issue and develop mechanisms to efficiently compute the optimal set of meter measurements given a number of state variables to be manipulated in a power-grid network. We formalize the problem of finding the optimal set of meter measurements as a known NP-hard problem and propose a heuristic approach to derive the near-optimal set of meter measurements efficiently. We implement our proposed scheme on the IEEE 9-bus, 14-bus, 30-bus, 118-bus and 300-bus systems and our data shows its efficiency and effectiveness.

Original languageEnglish (US)
Title of host publication2011 IEEE Global Telecommunications Conference, GLOBECOM 2011
DOIs
StatePublished - 2011
Event54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011 - Houston, TX, United States
Duration: Dec 5 2011Dec 9 2011

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011
Country/TerritoryUnited States
CityHouston, TX
Period12/5/1112/9/11

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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