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.