Abstract：This paper investigates the use of the natural excitation technique (NExT) in conjunction with the multi reference poly-reference complex exponential (PRCE) for the modal analysis of power systems based on the ambient data. The PRCE method was formerly applied to analyze the vibration characteristics of mechanism structures. The NexT-PRCE method contain two steps: the ring-down signals is extracted from ambient data by the NExT method, then the mode parameters are estimated by the PRCE algorithm form the ring-down signals. Estimated results based on Monte Carlo simulations on the 16 machine power system model show that the NExT-PRCE method can effectively identify the frequency, damping ratio and mode shape. The comparisons with other existed methods that the results estimated by the NExT-PRCE method is more accurate and the proposed method performance better with the measurement noise. The analysis based on the measured data from Sichuan power grid indicates the feasibility and validity of the new method proposed in this paper. It also provides a new way for power system stability analysis.
谢剑, 成业, 王晓茹. 基于NExT和PRCE方法的低频振荡分析[J]. 电工技术学报, 2018, 33(1): 121-130.
Xie Jian, Cheng Ye, Wang Xiaoru. Estimation of Electromechanical Oscillation Modes Based on NExT-PRCE Method. Transactions of China Electrotechnical Society, 2018, 33(1): 121-130.
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2018, Vol. 33 
