摘要
随着我国海上风电产业逐渐向深远海发展,迫切需要精确的早期故障辨识技术,以防止故障恶化造成的巨大经济损失。针对派克矢量故障辨识方法用在双馈并网系统时易受定子电压不平衡和负载变化的影响的不足,提出新的故障特征量——派克矢量轨迹椭圆度F_s。分析F_s和定子负序电流间的关系,运用非线性最小二乘法估计定子电压不平衡、负载变化和定子负序电流间的函数关系,以滤除定子电压不平衡和负载变化对F_s的影响。实验结果表明,该方法能够实现早期故障的精确辨识,对定子电压不平衡和负载变化具有鲁棒性。
The developing trend of offshore wind farm becomes larger scale, farther and deeper into the sea. The early fault detection for the wind turbine is necessary, in order to prevent the huge economic losses caused by the deterioration of the fault. When Park’s vector fault identification method used in grid-connected system for doubly-fed induction generator （DFIG）, its recognition result susceptible stator voltage unbalance and load fluctuation. Therefore this paper proposed a new fault characteristic—Park’s vector locus ovality Fs. The relationship between Fs and stator negative sequence current was analyzed. The identification of the parameters in the function runs based on a hybrid approach of the FBD algorithm with the nonlinear least square method, where the effects from the voltage unbalance of stator and the load fluctuation are filter out on Fs. The proposed Park’s vector locus ovality has high reliability on the early fault identification for the stator winding inter-turn fault, and this fault identification is robust to the voltage unbalance of stator and load fluctuation.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2017年第10期3001-3009,共9页
Proceedings of the CSEE
基金
上海市科技创新行动计划(16DZ1203504)
上海绿色能源并网工程技术研究中心(13DZ2251900)~~
关键词
海上风电
双馈电机
定子绕组匝间短路
故障辨识
派克矢量轨迹椭圆度
offshore wind power
doubly-fed induction generator （DFIG）
inter-turn fault
fault detection
Park＇s vector locus ovality
