Robust Fault Location Using Least-Absolute-Value Estimator

This paper presents a robust alternative to the previously developed method to reliably locate power-system faults using simultaneously recorded data from multiple locations. Automatic removal of corrupted measurements resulting from various factors (e. g., sensor breakdowns and cyberattacks) will be accomplished via the use of a least-absolute-value (LAV) estimator for fault location. Furthermore, inherent limitations of the approach imposed by sensor configurations as well as the effect of quantization errors incurred by low-precision sensors on the accuracy of estimated fault locations will be described. The performance of the overall algorithm will be tested and verified by fault scenarios on the IEEE 118-bus transmission grid.