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机构地区:[1]输配电装备及系统安全与新技术国家重点实验室(重庆大学),重庆市沙坪坝区400044 [2]重庆前卫仪表厂风电控制设备分公司,重庆市江北区401121
出 处:《中国电机工程学报》2011年第6期73-78,共6页Proceedings of the CSEE
基 金:重庆市科技攻关计划项目(CSTC;2008AB3050);输配电装备及系统安全与新技术国家重点实验室自主研究项目(2007DA10512710101)~~
摘 要:针对提高双馈风力发电机组运行可靠性和控制系统冗余度的问题,提出研究其控制系统中关键传感器故障诊断方法。从双馈发电机电磁暂态模型出发,构建了定、转子电流和定子电压的观测器模型。通过机组动、暂态特性仿真,并和传感器实际输出信号进行比较,验证了所建观测器模型的准确性。基于观测器方法和扰动过滤单元设计,构建了一种基于自适应阈值的传感器故障诊断模型。通过对传感器不同故障类型以及干扰信号辨识能力的仿真比较,表明提出的故障诊断方法和模型的有效性。In order to improve the operational reliability of a doubly fed wind turbine and the redundancy level of the control system,a fault diagnosis method of key sensors in wind turbine generation control system is studied.Based on the electromagnetic transient models of doubly fed induction generator(DFIG),the stator and rotor current and stator voltage observer models were established.By the dynamic and transient characteristic simulation,the correctness of the proposed observer models was demonstrated by comparison with the output results from the factual sensor.According to the established observer models and the design of the disturbance filter unit,the sensor fault diagnosis models based on the adaptive threshold were also proposed.By the simulation for different types of sensor failures and identification of disturbance input signals,the validity of the proposed fault diagnosis methods and models have been shown.
关 键 词:双馈感应发电机 故障诊断 关键传感器 观测器 自适应阈值
分 类 号:TM614[电气工程—电力系统及自动化] TM315
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