Transmission line audible noise prediction method based on BP neural network optimization

A BP neural network and transmission line technology, which is applied in the field of predicting the audible noise of transmission lines, can solve the problems of no comprehensive coverage, high-voltage line audible noise prediction error, large prediction error, etc.

Active Publication Date: 2015-05-20
STATE GRID CORP OF CHINA +1
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Problems solved by technology

These formulas only consider the characteristics of the line itself, and make predictions based on factors such as the surface potential gradient of the split wire, the number of split wires, and the split diameter of the sub-wire. Faced with the constraints of applicable conditions, the prediction error is too large, and it will be affected when applied in actual line design. a certain degree of restriction
Since the audible noise of the transmission line is also affected by environmental and geographical factors, and the influence of these factors on the audible noise value shows a high degree of nonlinearity and uncertainty, it is difficult to describe it with an accurate formula
[0004] However, due to the complexity of factors affecting the audible noise of transmission lines, previous empirical formulas have not fully covered all the influencing factors, and the empirical formulas are based on long-term observations of low-voltage lines. For the audible noise of high-voltage lines Noisy predictions have errors

Method used

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  • Transmission line audible noise prediction method based on BP neural network optimization
  • Transmission line audible noise prediction method based on BP neural network optimization
  • Transmission line audible noise prediction method based on BP neural network optimization

Examples

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Embodiment 1

[0095] Such as Figure 1-2 As shown, the inventive method of this example is: firstly obtain the factors that have an influence on the audible noise Y of the transmission line as input data, including: voltage X 1 , wire diameter X 2 , wire section X 3 , split number X 4 , Splitting distance X 5 , wire-to-ground distance X 6 , The distance between the wire and the measuring point X 7 , temperature X 8 , Humidity X 9 , wind speed X 10 , air pressure X 11 , altitude X 12 , background noise X 13 .

[0096] The input data contains 13 neurons, and the order of magnitude differs greatly. In order to ensure the equal status of each factor and speed up the convergence speed, the normalized preprocessing method is used to preprocess the input data and normalize the data to [-1,1 ] interval.

[0097] The ant colony algorithm assumes that there are N parameters in the network, which includes all weights and thresholds. First, sort these parameters, for parameter P i (1≤i≤N...

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Abstract

The invention relates to a transmission line audible noise prediction method based on BP neural network optimization. The method includes acquiring and preprocessing data parameters, establishing a BP neural network prediction model of the data parameters, performing optimization training on the BP neural network by the ant colony algorithm, and utilizing the network to predict the transmission line audible noise. The method has high prediction accuracy, fine convergence and high stability, the problem that the BP neural network falls into local minima is avoided, and great guidance significance is provided for transmission line audible noise prediction and audible noise reducing development.

Description

Technical field: [0001] The invention relates to a method for predicting the audible noise of a power transmission line, and more particularly to a method for predicting the audible noise of a power transmission line based on an optimized BP neural network. Background technique: [0002] Acoustic noise is an aspect of the influence of the electromagnetic environment of transmission lines, and it is one of the phenomena generated during the transmission line corona. With the increase of the voltage level of transmission lines, the audible noise generated by transmission lines has attracted widespread attention. Reducing the electromagnetic environment impact of transmission lines and reducing the audible noise around the line is the work that designers in various countries have been studying, and how to accurately predict the audible noise of the line is the premise of the research work. At present, the audible noise of transmission lines is predicted based on the empirical f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08G06Q10/04
Inventor 刘蕊马潇莫娟段舒宁杨臻李磊刘玉杰
Owner STATE GRID CORP OF CHINA
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