A New Underdetermined Framework for Sparse Estimation of Fault Location for Transmission Lines Using Limited Current Measurements

TL;DR

This paper introduces a novel underdetermined framework for accurately locating faults on transmission lines using limited current measurements, employing robust sparse recovery techniques to improve accuracy and robustness.

Contribution

It presents a new sparse estimation framework that combines current measurements with the branch-bus matrix, enhancing fault location accuracy under limited data conditions.

Findings

Effective fault location on IEEE 39-bus system

Robustness against outliers demonstrated

Outperforms traditional voltage-based methods

Abstract

This letter proposes an alternative underdetermined framework for fault location that utilizes current measurements along with the branch-bus matrix, providing another option besides the traditional voltage-based methods. To enhance fault location accuracy in the presence of multiple outliers, the robust YALL1 algorithm is used to resist outlier interference and accurately recover the sparse vector, thereby pinpointing the fault precisely. The results on the IEEE 39-bus test system demonstrate the effectiveness and robustness of the proposed method.