中国电机工程学报2017，Vol.37Issue(24)：7067-7076,10.DOI:10.13334/j.0258-8013.pcsee.170446
双馈型风电机组谐波信息的大数据聚类分析
Big Data Clustering Analysis for the Harmonic Data of the Doubly Fed Induction Generator
摘要
Abstract
In the power system with high penetration of wind power, the harmonic problem caused by the wind turbine generators (WTGs) has a critical impact on the power grid and power quality. The generating principle of integer harmonic and interharmonic of doubly fed induction generators (DFIGs) was revealed in details at first. The influence from the rotor speed on harmonic injected into the grid was also studied. In order to accurately measure the integer harmonic and interharmonic, a rotor speed based variable time window was devised. Then a harmonic data monitoring system was introduced for the power system integrated with DFIG wind farms. In order to analyze the large quantity of acquired data, a big data clustering technology based k-medoids algorithm was proposed for harmonic analysis. Finally, integer harmonic and interharmonic for DFIG was analyzed under both steady state operation and speed-up state operation conditions by using FFT with variable time window. A case study of clustering analysis for integer harmonic is also demonstrated to prove its effectiveness.关键词
双馈型风电机组/可变时间窗口/数据处理/聚类法Key words
doubly fed induction generator/variable time window/data processing/clustering methods分类
信息技术与安全科学引用本文复制引用
解大,吴汪平,苗洁蓉,张延迟..双馈型风电机组谐波信息的大数据聚类分析[J].中国电机工程学报,2017,37(24):7067-7076,10.基金项目
国家自然科学基金项目(51677114,51277119). Project Supported by National Natural Science Foundation of China (51677114, 51277119). （51677114,51277119）
