Power grid line fault diagnosis system and method based on Hadoop cloud computing platform

Abstract

The invention provides a power grid line fault diagnosis system and method based on a Hadoop cloud computing system. The system comprises a voltage transformer, a current transformer, a transmitter, a remote terminal, a modem, an optical fiber and a plurality of upper computers. The method includes the steps that voltage and current of a power grid line are acquired in real time and transmitted to the remote terminal; when a power grid has a fault, electrical quantity information of the power grid is acquired and transmitted to a NameNode in a Hadoop cluster and then is assigned to a DateNode to be processed in parallel, and the fault of the power grid is diagnosed and displayed. According to the power grid line fault diagnosis system and method, the electrical quantity information of the power grid line is fully utilized, the current, the wavelet signal rate of the voltage, the wavelet fault rate and the wavelet variation rate are calculated according to the result obtained after wavelet transform reconstruction based on multi-resolution analysis, fusion is performed to form a preliminary credibility distribution function, accurate division is performed after preliminary classification is performed on a fault power grid line set and a non-fault power grid line set, the fault power grid line set is determined finally, and fault power grid lines can be accurately judged out.

Description

technical field [0001] The invention belongs to the technical field of power grid fault diagnosis, in particular to a power grid line fault diagnosis system and method based on a Hadoop cloud computing platform. Background technique [0002] Fault diagnosis of power grid is an old-fashioned problem for power system. At present, there are many researches on power grid fault diagnosis at home and abroad, and all of them have their unique characteristics in diagnosis. There are mainly the following methods: fault diagnosis method based on expert system, fault diagnosis method based on artificial neural network, fault diagnosis method based on fuzzy set theory, fault diagnosis method based on Petri net theory, fault diagnosis method based on MAS theory, etc. . The diagnosis platform is mostly a processing platform of a computer in the main station. These methods have their own defects. Massive data, the system will become overwhelmed, or even collapse. No matter how perfect ...

AI Technical Summary

Problems solved by technology

The diagnosis platform is mostly a processing platform of a computer in the main station. These methods have their own defects. Massive data, the system will become overwhelmed, or even crash

No matter how perfect the algorithm is, it cannot be effectively executed, and it is impossible to diagnose the fault timely, accurately and quickly, and restore the power supply as soon as possible.

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