| 基于改进的RBF神经网络的配电网故障诊断模型 |
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| 引用本文： | 韦建波,张栋柱,罗浩杰,谭惠,韦涛.基于改进的RBF神经网络的配电网故障诊断模型[J].吉首大学学报(自然科学版),2018,39(1):54-58. |
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| 作者姓名： | 韦建波 张栋柱 罗浩杰 谭惠 韦涛 |
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| 作者单位： | (1.广西电网有限责任公司河池供电局,广西 河池 547000；2.湖南英科电力技术有限公司，湖南 长沙 410000) |
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| 摘 要： | 结合梯度下降算法和进化算法对RBF神经网络进行改进，建立了基于改进的RBF神经网络的配电网故障诊断模型.配电网故障诊断实例表明，基于改进的RBF神经网络的配网故障诊断模型具有较高的诊断精度.
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| 关 键 词： | RBF神经网络 改进 配电网 故障诊断 |
Distribution Network Fault Diagnosis Based on Improved RBF Neural Network |
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| WEI Jianbo,ZHANG Dongzhu,LUO Haojie,TAN Hui,WEI Tao.Distribution Network Fault Diagnosis Based on Improved RBF Neural Network[J].Journal of Jishou University(Natural Science Edition),2018,39(1):54-58. |
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| Authors: | WEI Jianbo ZHANG Dongzhu LUO Haojie TAN Hui WEI Tao |
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| Institution: | (1.Hechi Power Supply Bureau,Guangxi Power Grid Company,Hechi 547000,Guangxi China；2.Hunan Yingke Electric Power Technology Co. Ltd.，Changsha 410000,China) |
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| Abstract: | RBF neural network is effective for nonlinear fault diagnosis,but such method has the problem of local minimum and slow convergence.Evolutionary algorithm has strong global search ability,and it can realize parameter optimization for the RBF neural network through intersection,selection and aberrance;but during parameter optimization,covergence is slow.This paper proposes a distribution network fault diagnosis model based on improved RBF nueral network through combination of gradient descent algorithm and evolutionary numerical hybrid method.Application expriments show that this model has a high diagnostic accuracy. |
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| Keywords: | RBF neural network improvement distribution network fault diagnosis |
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