Bad Data Detection in the Context of Leverage Point Attacks in Modern Power Networks

Abstract

This paper demonstrates a concept to detect bad data in state estimation when the leverage measurements are tampered with gross error. The concept is based on separating leverage measurements from non-leverage measurements by a technique called diagnostic robust generalized potential (DRGP), which also takes care of the masking or swamping effect, if any. The methodology then detects the erroneous measurements from the generalized studentized residuals (GSR). The effectiveness of the method is validated with a small illustrative example, standard IEEE 14-bus and 123-bus unbalanced network models and compared with the existing methods. The method is demonstrated to be potentially very useful to detect attacks in smart power grid targeting leverage points in the system

Robust distribution system state estimation with hybrid measurements

“…The bad data detection considering leverage points is discussed by Majumdar and Pal [4] and it also compares the effectiveness of generalised studentised residuals (GSR) and diagnostic robust generalised potential (DRGP) methods in both TSSE and DSSE. However, the robustness against missing measurements and hybrid measurement sources is not discussed in this paper.…”

“…Numerous bad data detection and correction methods are existing for TSSE. Very few works are available for DSSE [4]. The estimator is made robust at the cost of additional computation time and complexity.…”

“…The linearised model for balanced and unbalanced distribution system power flow is provided in [3]. The modelling of DSSE is provided in [4,5]. Various numerical algorithms of TSSE and DSSE with their convergence characteristics under various conditions are compared in [6,7].…”

Roots, achievements, and prospects of power system state estimation: A review on handling corrupted measurements

“…The residuals of leverage points are of small magnitude, even when they are corrupted by a large error, as similarly occurs with C meas . Techniques to deal with this problem have been recently proposed in the literature, especially in the context of cyber‐attacks …”

“…Techniques to deal with this problem have been recently proposed in the literature, especially in the context of cyber-attacks. 95…”