Arc flash fault detection in wind farm collection feeders based on current waveform analysis
Arc flash fault detection in wind farm collection feeders based on current waveform analysis
复制标题
基于电流波形分析的风电场集电馈线弧闪故障检测
DOI：
10.1007/s40565-016-0233-4
复制
发表时间：
2017-03
影响因子：
6.3
通讯作者：
Dong Xinzhou
中科院分区：
文献类型：
--
作者：
Wang Bin;Ni Jiang;Geng Jianzhao;Lu Yuanyuan;Dong Xinzhou
风电场集中馈电线容易发生高阻抗故障，并可能导致风电机组连锁跳闸。这类故障由于故障电流值的限制，传统的继电保护或熔断器很难检测到，在风电场的情况更为严重。目前采用的HIF检测算法主要是基于故障零序电流的三次谐波特征，而这些三次谐波极易被风电背靠背变流器污染。针对这一问题，首先基于Mayr电弧模型分析了HIF闪弧的典型谐波特性，给出了风电场HIF典型故障波形。然后分析了基于谐波的HIF检测算法的性能，针对零序电流在过零点处的凹凸特性，从时域角度提出了一种新的检测算法。一个HIF检测（HIFD）的原型实现所提出的算法已经开发。现场数据和RTDS实验证明了该算法的灵敏性和安全性。
High impedance faults (HIFs) are easy to occur in collective feeders in wind farms and may cause the cascading of wind generators tripping. This kind of faults is difficult to be detected by traditional relay or fuse due to the limited fault current values and the situation is worse in wind farms. The mostly adopted HIF detection algorithms are based on the 3rdharmonic characteristic of the fault zero-sequence currents, whereas these 3rdharmonics are very easy to be polluted by wind power back-to-back converters. In response to this problem, the typical harmonic characteristic of HIF arc flash based on Mayr's arc model is first analyzed, and the typical fault waveforms of HIF in wind farm are presented. Then the performance of the harmonic based HIF detection algorithm is discussed, and a novel detection algorithm is proposed from the viewpoint of time domain, focusing on the convex and concave characteristic of zero-sequence current at zero-crossing points. A HIFs detection (HIFD) prototype implementing the proposed algorithm has been developed. The sensitivity and security of the algorithm are proved by field data and RTDS experiments.
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DOI：
--
发表时间：
2008
期刊：
Hydropower Automation and Dam Monitoring
影响因子：
--
作者：
L. Wenhua
通讯作者：
L. Wenhua
影响因子：
4.4
作者：
Charles J. Kim
通讯作者：
Charles J. Kim
影响因子：
9.6
作者：
Zhan Wang;R. Balog
通讯作者：
Zhan Wang;R. Balog
影响因子：
2.5
作者：
J. R. Macedo;José Wilson Resende;C. Bissochi;D. P. Carvalho;F. Castro
通讯作者：
J. R. Macedo;José Wilson Resende;C. Bissochi;D. P. Carvalho;F. Castro
影响因子：
9.6
作者：
V. Terzija;G. Preston;V. Stanojevic;N. Elkalashy;M. Popov
通讯作者：
V. Terzija;G. Preston;V. Stanojevic;N. Elkalashy;M. Popov