Signal amplitude based rapid accurate fault diagnosis system of high voltage transmission line

Abstract

A signal amplitude based rapid accurate fault diagnosis system of a high voltage transmission line comprises a signal collection method, a signal processing module, a fault classification module, a fault phase signal extraction module, a fault phase signal processing module and a fault positioning module which are connected successively via an interference-free line. The system has the advantagesthat when a fault occurs in the high tension transmission line, features can be extracted from a fault signal needless of any feature extraction algorithm, the faults can be classified rapidly via simple filtering and interception according to a collected three-phase fault voltage/current amplitude signal, a corresponding voltage/current amplitude signal of the fault phase can be extracted according to the fault type, and the fault position can be located accurately via simple filtering, and the fault diagnosis method including classification and location then can be used to eliminate the fault rapidly, shorten the power recovery time, and ensures safe, stable and economical operation of the power grid technically.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of high-voltage transmission lines, in particular to a fast and accurate fault diagnosis system for high-voltage transmission lines based on signal amplitude. Background technique [0002] Transmission line is an important component of the power system and is responsible for the heavy responsibility of transmitting electric energy. However, due to years of exposure to the air and the impact of harsh environments, 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, fast and accurate fault diagnosis can speed up the repair of faulty lines and restore power supply, reduce the economic loss and social impact caused by power outages, and is of great significance to the reliable operation of power systems. [0003] In recent years, many domestic ...

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 location is too slow. At the same time, the features used in fault diagnosis are those transformed by feature extraction algorithms. As a result, the accuracy of fault classification and location has been greatly reduced. Therefore, more and more scholars have paid attention to improving the speed and accuracy of transmission line fault diagnosis.

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