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中文摘要：
同步电机参数的准确性对于电力系统运行和控制具有重要的意义。文中基于矩阵束算法提出一种同步电机参数辨识的新方法,并给出了辨识的基本原理和基本过程。该方法将采集到的三相短路电流构造为2个Hankel矩阵,通过奇异值分解和矩阵的低秩近似等方法抑制了噪声的干扰,同时减少了计算量,从而利用矩阵间的特定关系提取出直流分量和基波分量,实现了同步电机参数的准确辨识。仿真结果表明,该方法具有精度好、运算效率高、抗噪性强等特点。
英文摘要：
The accuracy of synchronous machine parameters is extremely important to power system operation and control.Based on matrix pencil algorithm,a new method is proposed to identify synchronous machine parameters,with the basic principles and processes of identification provided.The method can structure two Hankel matrices from collected three-phase short-circuit current.The noise effect is restrained based on singular value decomposition（SVD） and low rank approximation.The computational costs are reduced.DC component and fundamental component are extracted as well using specific relationship between matrices,consequently accurate identification of synchronous machine parameters can be realized.The simulation results show that this method has higher precision,computational efficiency and stronger anti-noise capacity.
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