基于电压跌落状态的双馈电机参数辨识  

PARAMETERS IDENTIFICATION BASED ON THE VOLTAGE DROP OF DOUBLE-FED WIND GENERATOR

作　　者：张建华[1] 辛付龙[1] 陈星莺[2] 莫岳平[1] 王健[1] 

机构地区：[1]扬州大学能源与动力工程学院,扬州225127 [2]水资源高效利用与工程安全国家工程研究中心(河海大学),南京210098

出　　处：《太阳能学报》2013年第11期1986-1992,共7页Acta Energiae Solaris Sinica

基　　金：国家自然科学基金(51077043);"十一五"国家科技支撑计划(2006BAA01A24);江苏省高校自然科学基础研究项目(08KJD480001)

摘　　要：在双馈风力发电机组中多采用矢量控制对双馈风力发电机转速进行控制,为了给矢量控制提供更精确的电机参数,提高矢量控制的效果,提出一种基于发电机电压跌落状态,采用最小二乘法对电机内部参数进行辨识的方法。研究发现,电压跌落状态下定子侧的电流中存在直流分量、交流基波分量和交流谐波分量,各分量的变化规律由双馈风力发电机的参数、转差率及转子励磁电压决定;将电流波形各电流分量分离并用最小二乘法拟合系数,然后代入电压跌落状态下的电流表达式即可辨识出电机内部参数;利用双馈风力发电机的仿真数据加以验证,仿真结果表明参数辨识算法是有效的,可明显改善双馈电机矢量控制系统的性能。In the double-fed wind turbine most adopted vector control for doubly fed wind generator speed control, In order to provide a more accurate vector control motor parameters and improving the effectiveness of vector control ; In this paper, the voltage drop on generator status, using least squares within the parameters of the motor identification method. Study found that there are DC component, AC fundamental and AC harmonies in the current, influenced by the DFIG parameters, slip and rotor excitation voltage; Separating short-circuit current waveform of each current component and curve fitting into the short-flow current expression can be identified within the parameters of the motor. Through doubly-fed wind generator simulation data validate the feasibility of the identification method, simulation results showed that the parameter identification algorithm is efficient, significantly improved the double-fed motor vector control system performance.

关 键 词：双馈风力发电机 电压跌落 参数辨识 电流分量 最小二乘法 

分 类 号：TM614[电气工程—电力系统及自动化]