Partial Discharge Identification of Transformer Based on Particle Swarm Optimization Kernel Nearest Neighbor Propagation Algorithm

Abstract

The invention discloses a method for identifying partial discharge of a transformer based on a particle swarm optimization kernel nearest neighbor propagation algorithm, which comprises the followingsteps: establishing an oil-paper insulation partial discharge test model of the transformer; Extraction of Moment Features, Typing Features and Texture Feature Parameters from Gray Image; Dimension Reduction of Characteristic Parameters in Principal Component Analysis; The Calculation Formula of Similarity Based on Kernel Function and Shared Nearest Neighbor; Methods and steps of classifier basedon particle swarm optimization kernel nearest neighbor propagation algorithm. The invention improves the shortcoming that the traditional nearest neighbor propagation algorithm is only suitable for dealing with the data clustering problem of a compact hyper-spherical structure, and still has certain validity when the data set is loosely distributed or the structure is complex. The experimental results show that the kernel nearest neighbor propagation algorithm based on particle swarm optimization can significantly improve the recognition rate compared with the traditional nearest neighbor propagation algorithm and improve the recognition rate of part of the model data compared with BP neural network when it is applied to the identification of the four types of partial discharge.

Description

technical field [0001] The present invention relates to the field of electrical technology, in particular to a transformer partial discharge pattern recognition method based on particle swarm optimization kernel neighbor propagation algorithm, wherein, the neighbor propagation algorithm (Affinity Propagation, abbreviated as AP), based on particle swarm optimization kernel neighbor propagation algorithm (Kernel Affinity Propagation Algorithm Based on ParticleSwarm Optimization, abbreviated as KAP-PSO). Background technique [0002] The power transformer is an important equipment in the power system, not only because of its high cost, but also has the function of raising and lowering the voltage during the power transmission and distribution process of the power system and connecting different power grids. Once the transformer fails, it will inevitably cause a large-scale power interruption in the power system, which will affect the safe and stable operation of the power syste...

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The nearest neighbor propagation algorithm is only suitable for dealing with data clustering problems with compact hyperspherical ...

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