Bad area detection and whitening transformation-based identification in three-phase distribution state estimation

Abstract

© The Institution of Engineering and Technology. This study addresses state estimation in three-phase distribution systems, and proposes a new method for bad area detection (BAD) and identification of bad data. The proposed BAD utilises key features of the system such as strong correlation among measurements to identify both bad measurement areas and phases, via decoupled Chi-squares test with newly proposed metrics. The bad data identification detects multiple bad measurements using the whitening (sphering) transformation for re-parameterisation of the measurement residuals. The proposed methodology is verified on two characteristic test examples: (i) modified IEEE 13-bus benchmark test system, and (ii) 186-bus real-world distribution utility feeder.