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基于小波神经网络单相断线故障选线和定位
引用本文:朱玲玲,张华中,王正刚,张洪涛,李长凯,朱水强,白杨. 基于小波神经网络单相断线故障选线和定位[J]. 电力系统保护与控制, 2011, 39(4): 12-17
作者姓名:朱玲玲  张华中  王正刚  张洪涛  李长凯  朱水强  白杨
作者单位:1.周口市供电公司,河南 周口 466000;2.新疆大学电气工程学院,新疆 乌鲁木齐 830000;3.河南省悉诺信息技术有限责任公司,河南 郑州 450008
摘    要:根据发生单相断线不接地故障、单相断线电源侧接地故障或单相断线负荷侧接地故障时,正序电流暂态分量的变化特性,提出了一种配电网单相断线故障选线和定位保护新方法。该方法应用小波奇异性检测功能,获取故障引起的正序电流暂态分量模极大值的极性和大小, 进行故障选线;并和小波神经网络相结合实现模极大值与故障点位置之间的映射关系,进行故障定位。仿真结果表明,该故障选线和定位方法准确可靠。

关 键 词:配电网;单相断线故障;故障选线和定位;小波神经网络

Single-phase open-line fault selection and location based on wavelet neural networks
ZHU Ling-ling,ZHANG Hua-zhong ,WANG Zheng-gang ,ZHANG Hong-tao ,LI Chang-kai ,ZHU Shui-qiang ,BAIYang. Single-phase open-line fault selection and location based on wavelet neural networks[J]. Power System Protection and Control, 2011, 39(4): 12-17
Authors:ZHU Ling-ling  ZHANG Hua-zhong   WANG Zheng-gang   ZHANG Hong-tao   LI Chang-kai   ZHU Shui-qiang   BAIYang
Affiliation:ZHU Ling-ling1,ZHANG Hua-zhong 1,WANG Zheng-gang 1,ZHANG Hong-tao 1,LI Chang-kai 2,ZHU Shui-qiang 3,BAIYang 1 (1.Zhoukou Electric Power Corporation,Zhoukou 466000,China,2.College of Electrical Engineering,Xinjiang University,Urumqi 830000,3.Henan Province Xinuo Information Technology Co.,Ltd,Zhengzhou 450008,China)
Abstract:According to the change characteristic of the transient component of positive-sequence current when single-phase open-line fault with non-grounding or power-side-grounding or load-side-grounding happens,a novel selection and location method for single-phase-open-line fault of distribution network is presented.In this method,singularity detection of wavelet is employed to obtain the polarities and magnitudes of modulus maximum of the transient component of positive-sequence current caused by the fault.Compar...
Keywords:distribution network  single-phase open-line fault  fault selection and location  wavelet neural network  
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