A Fault Location Method for Active Distribution Network with Renewable Sources Based on BP Neural Network
文献类型：会议论文
| 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)
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| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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