Fault location on overhead power lines using multi-hypothesis sequential analysis and the Armitage algorithm

The use of modern methods for determining the fault location (FL) on overhead power lines (OHРLs), which have high accuracy and high speed, allows you to quickly find and repair damage. Various physical principles and algorithms for calculating the distance to the site of damage are used in FL OHРLs devices from different manufacturers. Some of algorithms for FL on OHРLs use the emergency mode parameters (EMP), other algorithms use measurement results based on wave methods. Many random factors that determine the magnitude of the error in calculating the distance to the FL affect the operation of FL devices by EMP. Methods based on deterministic procedures used in well-known FL devices for OHРLs do not take into account the influence of random factors, which significantly increases the time to search for the fault. The authors have developed a new method of FL on OHРLs using multi-hypothesis sequential analysis and the Armitage algorithm. The task of recognizing a faulted section of an OHРL is formulated as a statistical problem. To do this, the inspection area of the OHРL is divided into many sections, followed by the implementation of the procedure for FL. The developed method makes it possible to adapt the distortions of currents and voltages on the emergency mode oscillograms to the conditions for estimating their parameters. The results of the calculations proved that the implementation of the developed method has practically no effect on the speed of the FL algorithm for the OHРL by EMP. This ensures the uniqueness of determining the faulted section of the OHРL under the influence of random factors, which leads to a significant reduction in the inspection area of the OHРL. The application of the developed method in FL devices for OHРLs will ensure the required reliability of power supply to consumers and reduce losses from power outages by minimizing the time to search for a fault.