Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Sensitivity-based Vulnerability Assessment of State Estimation
Author:
Affiliation:

1.the Department of Electrical and Computer Engineering, The Ohio State University, Columbus, USA;2.the Department of Integrated Systems Engineering and the Department of Electrical and Computer Engineering, The Ohio State University, Columbus, USA

Fund Project:

This work was supported in part by the National Science Foundation (No. EPCN 1808169, No. ECCS 1711048).

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
    Abstract:

    We propose a technique to assess the vulnerability of the power system state estimation. We aim at identifying the measurements that have a high potential of being the target of false data injection attacks. From the perspective of the adversary, such measurements have the following characteristics: being influential on the variable estimates;corrupting their measured values is likely to be undetected. Additionally, such characteristics should not change significantly with the system operation condition. The proposed technique provides a systematic way of identifying the measurements with such characteristics. We illustrate our methodology on a 4-bus system, the New England 39-bus system, and the IEEE 118-bus test system, respectively.

    表 8 Table 8
    表 1 Table 1
    图1 Curves of S-shaped function.Fig.1
    图2 Single-line diagram and measurement location of 4-bus system.Fig.2
    图3 Sensitivity of objective function with respect to measurement of 4-bus system.Fig.3
    图4 Sensitivity of variable estimates with respect to measurement (scale factor is 1) of 4-bus system.Fig.4
    图6 Estimated values of 4-bus system.Fig.6
    图7 Sensitivity of variable estimates with respect to measurements (scale factor is 1) of New England 39-bus system.Fig.7
    图8 Vulnerability scores of all measurements of New England 39-bus system. (a) S-score. (b) L-score. (c) V-score.Fig.8
    图9 Number of vulnerable measurements as a function of different threshold values of New England 39-bus system.Fig.9
    图10 S-score distribution of IEEE 118-bus system.Fig.10
    图11 L-score distribution of IEEE 118-bus system.Fig.11
    图12 V-score distribution of IEEE 118-bus system.Fig.12
    图13 V-score correlation in a heavy load condition of IEEE 118-bus system.Fig.13
    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:September 04,2020
  • Revised:
  • Adopted:
  • Online: August 04,2021
  • Published: