中文摘要：

电力系统安全稳定计算的关键之一是建立准确的系统数学模型以及获取符合实际的系统动态参数。系统辨识技术在电力系统中有着重要的应用价值。提出了一种基于Prony算法的参数辨识方法，首先验证了其在电力系统传递函数辨识方面的有效性，再将其进行拓展，对汽轮机调节系统参数辨识进行了研究。该方法能准确辨识出系统传递函数和模型参数，计算速度快，辨识精度高，具备在线应用的潜力。仿真结果表明，该算法在电力系统参数辨识方面是有效可行的。

英文摘要：

One of key problems in the calculation of power system security and stability is to built an accurate mathematical model of power system and obtain power system’s dynamic parameters, which can conform to practical situation, thus system identification technique possesses important application value. The authors propose a Prony algorithm-based parameter identification method. Firstly, the effectiveness of the proposed method in the transfer function identification of power system is verified; then this method is expanded and applied to the research on parameter identification of turbine governor system. The proposed method can identify system transfer function and parameters of model rapid and accurately, and it is also proved that the on-line application of the proposed method is possible. Simulation results show that it is feasible and effective to utilize the proposed method in parameter identification of power system.