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题名: A Fault Location Method for Active Distribution Network with Renewable Sources Based on BP Neural Network
作者: Zhang T(张彤); Li XH(李先宏); Yu HB(于海斌); Liu JC(刘建昌); Zeng P(曾鹏); Sun LX(孙兰香)
作者部门: 工业控制网络与系统研究室
会议名称: 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)
会议日期: Augest 26-27, 2015
会议地点: Hangzhou, China
会议录: 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC)
会议录出版者: IEEE
会议录出版地: Piscataway, NJ, USA
出版日期: 2015
页码: 357-361
收录类别: EI ; CPCI(ISTP)
ISSN号: 2157-8982
ISBN号: 978-1-4799-8645-3
关键词: Distribution power system ; BP neural network ; short-circuit fault ; active distribution network ; fault location
摘要: This paper presents a neural network method to locate common fault exactly in a distribution power system (DPS) with renewable sources. The back propagation (BP) neural network method is applied to identify patterns of voltage and current measured from distribution branches. The input matrix of BP network consists of the voltage and current values, which can identify the accurate fault position. The fault location of a common short-circuit fault is analyzed thoroughly in an active distribution network (ADN) with the renewable power sources. Simulation results prove the feasibility and usefulness of the fault location method based on the BP neural network, wherein the fault location accuracy can reach 0.09%.
语种: 英语
产权排序: 1
WOS记录号: WOS:000377211600085
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/17383
Appears in Collections:工业控制网络与系统研究室_会议论文

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Recommended Citation:
Zhang T,Li XH,Yu HB,et al. A Fault Location Method for Active Distribution Network with Renewable Sources Based on BP Neural Network[C]. 见:2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). Hangzhou, China. Augest 26-27, 2015.
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文件名: A Fault Location Method for Active Distribution Network with Renewable Sources Based on BP Neural Network.pdf
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