Transmission line faults detection and classification using new tripping characteristics based on statistical coherence for current measurements.

ABSTRACT: Power transmission lines are critical components of a power system that connect power stations to consumers. To maintain reliability and stability of the system, faults should be correctly classified and cleared as soon as possible. In this article, a coherence-based protection scheme for faults detection and classification on transmission lines (TLs) is proposed. Besides, the scheme introduces a new model of tripping characteristics based on six coherence coefficients that are computed only for current waves measured at the TL sending end. The power network under test is simulated using the ATP software, and signals analysis and the performance evaluation of the technique are performed in the MATLAB environment. The protection performance is investigated under different fault conditions,

SUBMITTER: Mahmoud RA 

PROVIDER: S-EPMC11903867 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature