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Study of Predicting Lightning Activity on Transmission Line Based on Neural Network Technology

Author: QiaoFei
Tutor: HeJunJia
School: Huazhong University of Science and Technology
Course: High Voltage and Insulation Technology
Keywords: transmission line the densities of cloud-to-ground lightning lightning current amplitude neural network
CLC: TM726
Type: Master's thesis
Year: 2009
Downloads: 38
Quote: 1
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Abstract


Transmission line is one of the most important parts of power network, and its operating safety is the guarantee of the power network’s operating safety. The operational accidents on transmission line are mainly caused by lightning accidents. The value selection of some parameters on lightning activity affects directly the calculation of lightning protection on transmission line. Therefore, grasping the rules of lightning activity on transmission line and studying on some parameters on it, such as, the densities of cloud-to-ground lightning and lightning current amplitude, have very important guiding significance to lightning protection on transmission line.At past, the study of some parameters on lightning activity were mainly on direct-statistics to observation data of lightning activity, but no scholar studied on the rules and the prediction of lightning activity on transmission line deeply. In this paper, neural network technology is introduced in predicting the parameters on lightning activity on transmission line, and existing problems of this method are discussed.At first, the prediction model on the distribution of cloud-to-ground lightning of transmission line is built based on neural network technology, and the methods of adaptive neural network and genetic neural network are used to predict the distribution of cloud-to-ground lightning of transmission line. The analysis to the result suggests that adaptive neural network is not suitable to be used to predict the discrete data. Because the ability of nonlinear mapping of genetic neural network is more than adaptive neural network’s, the error of result is increased, in the condition that it is too few learning sample to grasping the rules of lightning activity on transmission line. The method of adaptive neural network based on data classification technology is introduced to predict the distribution of cloud-to-ground lightning of transmission line for fault.On the basis of the prediction model on the distribution of cloud-to-ground lightning, the prediction model lightning current amplitude of transmission line is built. The methods of adaptive neural network and genetic neural network are used to predict lightning current amplitude of transmission line. While, this method has some disadvantages in the research, such as, the rules of lightning activity on transmission line can not be reflected directly, because mean value of lightning and fitting coefficient which are the predicting objects have been fitted non-linearly. The method of interval division is used to improve the prediction model, and it is used to predict the numbers of cloud-to-ground lightning in the intervals.At last, the simulation system of lightning activity on transmission line is built to simulate the cloud-to-ground lightning and lightning current amplitude by using the prediction of neural network.

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CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Transmission and distribution technology > Transmission and distribution lines
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