Fault Classification of Flexible DC Transmission Lines based on Cross-correlation Analysis

To effectively respond to the dynamic advancements in flexible DC power grid systems and fulfill the demands for enhanced speed and reliability in DC transmission line protection. This study introduces a novel approach for identifying faults in DC transmission lines, utilizing cross-correlation dispersion as the underlying principle. The principle of identifying fault types in transmission lines is achieved by performing cross-correlation analysis on the fault data and normal data of each line after detecting the DC grid fault, followed by the calculation of the dispersion of the cross-correlation analysis results. The simulation results demonstrate that the method does not necessitate a convoluted threshold configuration procedure, remains unaffected by the location of faults, and effectively identifies faulty lines.