永磁直驱风电系统变流器开路故障诊断方法  

Open-circuit Fault Detection and Diagnosis for Converters of D-PMSG Based Wind Power Generation Systems

作　　者：王美[1] 谭阳红[1] 何怡刚[2] 杜培伟 

机构地区：[1]湖南大学电气与信息工程学院,长沙410082 [2]合肥工业大学电气与自动化工程学院,合肥230009

出　　处：《控制工程》2018年第1期50-56,共7页Control Engineering of China

基　　金：国家自然基金(No.61102039、51577046);973计划(2012CB215106);湖南省自然科学基金(No.14JJ7029);中央高校基金;湖南省教改课题

摘　　要：变流器是直驱型永磁同步风力发电系统中的枢纽器件，其运行可靠性直接关系到电系统的安全性与稳定性。针对变流器开路故障后系统的运行特性，提出了一种基于电流信号直流分量和总谐波畸变率的分层故障诊断方法。在PSCAD环境下搭建直驱型永磁风电系统模型，以变流器的整流状态为例，分别将变流器21种不同种类的开路故障进行仿真，提取变流器的故障特征，应用BP神经网络实现了变流器故障的分离，仿真结果验证了该方法的可行性和有效性。Converters are the key components in the permanent magnet synchronous wind power generation system. Their operation reliability is directly related to the safe operation reliability and stability of power systems. In this paper, a hierarchical fault diagnosis method based on DC component and the total harmonic distortion rate is proposed for the operation of the converters after an open circuit fault. In PSCAD environment, a permanent magnet direct drive wind power system model is built. Take the converter rectifier state for example, 21 different types of open-circuit faults of converters are simulated respectively. Then this paper extracts the fault features of converters and applies BP neural network for fault diagnosis. In this way, various open circuit faults of converters can be identified. The simulation results show the feasibility and effectiveness of the method.

关 键 词：变流器 开路故障 直流分量 总谐波畸变率 BP神经网络 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]