Electrode critical coronal voltage predicting method on basis of characteristic quantities of electric fields

Abstract

The invention discloses an electrode critical coronal voltage predicting method on the basis of characteristic quantities of electric fields, which comprises the following steps: firstly, measuring critical coronal voltage data of typical electrodes which are of different structures and defining a non critical coronal voltage interval and a critical coronal voltage interval; then carrying out electric field calculation on gaps between the typical electrodes which are of different structures and extracting the characteristic quantities of the electric fields so as to construct a training sample set; nextly, on the basis of the training sample set, constructing a critical coronal voltage predicting model, wherein the critical coronal voltage predicting model uses the characteristic quantities of the electric fields as inputs and uses the non critical coronal voltage interval and the critical coronal voltage interval as outputs; and finally, predicting critical coronal voltages of the electrodes by adopting the critical coronal voltage predicting model. The electrode critical coronal voltage predicting method is simple to operate, has high predicting accuracy and is suitable for predicting the critical coronal voltage of the electrode which is of a random structure; and a predicting result can provide reference for structural design and structural optimization of a power transmission line, fittings, an electrostatic dust collection device and the like.

Description

technical field [0001] The invention relates to the fields of power transmission and transformation engineering and electrostatic precipitator corona discharge, in particular to a method for predicting an electrode corona inception voltage based on electric field characteristic quantities. Background technique [0002] Corona is a self-sustained discharge phenomenon unique to extremely uneven electric fields. It is related to many factors such as applied voltage, electrode shape, distance between electrodes, gas properties and density. With the increase of voltage level, more and more attention is paid to the effects of radio interference, audible noise, and corona loss caused by corona in transmission lines. The corona effect is a decisive factor in the selection of EHV and UHV transmission line conductors. In high-voltage power transmission and transformation projects, metal fittings such as voltage equalizing rings, anti-vibration hammers, and spacers can generate high fi...

AI Technical Summary

Problems solved by technology

Some parameters in the empirical formula and semi-empirical formula are difficult to obtain accurately, and the calculation accuracy and scope of application are limited; the pure numerical calculation method is relatively complicated and the accuracy is not high

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