A Fault Location Method for Active Distribution Network with Renewable Sources Based on BP Neural Network

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	A Fault Location Method for Active Distribution Network with Renewable Sources Based on BP Neural Network
	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)
	2015
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
关键词	Distribution power system BP neural network short-circuit fault active distribution network fault location
页码	357-361
通讯作者	李先宏 ; 于海斌 ; 刘建昌
中文摘要	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%.
收录类别	EI ; CPCI（ISTP）
产权排序	1
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
语种	英语
ISSN号	2157-8982
ISBN号	978-1-4799-8645-3
WOS记录号	WOS:000377211600085
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/17383]
专题	沈阳自动化研究所_工业控制网络与系统研究室
推荐引用方式 GB/T 7714	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.