改进BP网络算法在配电网故障诊断中的应用研究

成蓬勃<sup>1</sup>; 袁福科<sup>2</sup>; 刘灿萍<sup>1</sup>; 梁晓剑<sup>1</sup>; 郭壮志<sup>1</sup>

引用本文:	成蓬勃,袁福科,刘灿萍,等.改进BP网络算法在配电网故障诊断中的应用研究[J].电力系统保护与控制,2007,35(12):27-31,40.
	CHENG Peng-bo,YUAN Fu-ke,LIU Can-ping,et al.Application of an improved BP network calculation to the fault diagnosis of distribution network[J].Power System Protection and Control,2007,35(12):27-31,40

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改进BP网络算法在配电网故障诊断中的应用研究
成蓬勃¹, 袁福科², 刘灿萍, 梁晓剑, 郭壮志
1.广西大学电气工程学院,广西南宁 530004;2.西安电子科技大学，陕西西安 710071

摘要:

针对BP 网络学习收敛速度慢和易陷入局部最小点的不足，提出利用一种自适应学习速率动量梯度下降反向传播算法对BP神经网络进行训练。该算法使BP神经网络学习速率和稳定性得到提高。将这种改进的BP网络算法应用于配电网诊断实例，用这种改进的网络算法进行分类，采用VB语言作为开发工具调用神经网络工具箱建立了一个简化的故障诊断系统，验证了该算法的有效性、正确性。

关键词: 配电网故障诊断 BP神经网络； VB

DOI：10.7667/j.issn.1674-3415.2007.12.007

分类号:

基金项目:

Application of an improved BP network calculation to the fault diagnosis of distribution network

CHENG Peng-bo¹, YUAN Fu-ke², LIU Can-ping, LIANG Xiao-jian, GUO Zhuang-zhi

1. College of Electrical Engineering ，Guangxi University，Nanning 530004，China;2.Xi’an Electronic Technology University, Xi’an 710071,China

Abstract:

A reverse transmission calculation of self adaptive learning rate with momentum gradient reduction is described in the paper against the problems of slow convergence and easy trapping into smallest spot . The calculation has made the BP net upgrade the rate and stability of learning .In the paper, an improved BP networks are used in the fault diagnosis of distribution network.And an improved BP networks are trained as a classifier of the distribution network’s fault. It, sets up a simple system of fault diagnosis about distribution network by the Visual B and Matlab,which has made an effective fault diagnosis of distribution network.

Key words: distribution network fault diagnosis BP neural network Visual B

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