Voltage amplitude-based fast and accurate fault classification system of high-voltage transmission line

Abstract

The invention discloses a voltage amplitude-based fast and accurate fault classification system of a high-voltage transmission line. The system includes a voltage collection module, a voltage processing module and a fault classification module. The voltage collection module is mounted on the high-voltage transmission line, and is connected with the voltage processing module through a noninterference line. The voltage processing module is connected with the fault classification module through a noninterference line. The voltage processing module includes a voltage filtering module and a voltageintercepting module. The voltage amplitude-based fast and accurate fault classification system of the high-voltage transmission line provided by the invention has the advantages that when the high-voltage transmission line fails, fast fault classification can be simply realized through collected three-phase fault voltage signal amplitude and simple filtering and intercepting without the need forfeature extraction of any feature extraction algorithm on fault information, fast elimination of a fault is facilitated, power supply recovery time is saved, and safe, stable and economic running of apower network is technically guaranteed.

Description

technical field [0001] The invention belongs to the technical field of fault classification of high-voltage transmission lines, in particular to a fast and accurate fault classification system for high-voltage transmission lines based on voltage signal amplitude. Background technique [0002] Transmission line is an important part of the power system and is responsible for the transmission of electric energy. However, due to its high voltage level, large transmission capacity, long cross-region, and the influence of harsh environment and weather, it is very prone to failure. Once a fault occurs, the stability of the power system will be destroyed, and the power supply will be interrupted, thereby affecting the quality of power supply. Therefore, it is of great significance to the reliable operation of the power system to quickly and accurately classify faults, speed up the repair of faulty lines and restore power supply, and reduce the economic loss and social impact caused ...

AI Technical Summary

Problems solved by technology

However, because the existing feature extraction algorithms have to undergo mathematically complex transformations and calculations, the speed of fault classification and recognition is too slow. The accuracy of fault classification is greatly reduced, so more and more scholars have paid attention to improving the speed and accuracy of fault classification and identification of transmission lines.

Images