Power cable loss and core temperature prediction method

Abstract

The invention relates to a power cable loss and wire core temperature prediction method. The method comprises the steps that S1, acquiring fundamental waves, harmonic waves, current values, cable lossvalues and conductor temperature data in a cable through experiments; s2, adjusting physical parameters of the simulation structure material according to the data obtained in the step S1; obtaining simulation data; s3, selecting a training sample; s4, constructing an Elman neural network according to the training sample; s5: carrying out primary optimization on the Elman neural network by using agenetic algorithm, and then carrying out secondary optimization method training by using a BP algorithm; s6, calculating the loss of the cable and the temperature of the cable core. The genetic algorithm and the Elman combined algorithm are adopted to train the network, and the training effect is better than that of a BP algorithm independently used for training the network; the cable loss and the conductor temperature are calculated by using the trained network, wherein the error generated by the cable loss and the conductor temperature is smaller than that of the latter. According to the invention, the influence of external environmental factors on the cable loss and the prediction accuracy of the cable core temperature can be reduced.

Description

technical field [0001] The invention relates to the field of cable parameter prediction methods, and more specifically, to a method for predicting power cable loss and wire core temperature. Background technique [0002] With the gradual increase of nonlinear loads in the power system, there are a large number of excessive harmonic currents and voltages in the lines, which seriously degrades the power quality of transmission lines. When the power harmonic distortion is serious, the load of the line will increase sharply and the loss will increase, resulting in the high operating temperature of the cable and its accessories, and the aging problem of the insulation layer; especially the overheating problem caused by the harmonic current needs to cause power industry's attention. [0003] Therefore, there is currently a need for a method for calculating the cable loss and conductor temperature more accurately based on the harmonic current content and the effective cross-sectio...

AI Technical Summary

Problems solved by technology

The loss of the cable is mostly calculated based on the equivalent circuit, and the calculation of the temperature rise is mostly based on the thermal circuit model of the cable. The common method is to calculate the transient response of the cable body and the external environment of the cable separately, and then superimpose them, but this method is accurate. performance is still affected by external environmental factors; in the calculation process using this method, the transient model of the heat circuit is difficult to determine

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