基于NExT和PRCE方法的低频振荡分析

doi:10.19595/j.cnki.1000-6753.tces.161489

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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.

Key words： Low frequency oscillation ambient excitation poly-reference complex exponential method mode shape

Received: 13 September 2016 Published: 16 January 2018

PACS:

TM712

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	Xie Jian
	Cheng Ye
	Wang Xiaoru

Cite this article:

Xie Jian,Cheng Ye,Wang Xiaoru. Estimation of Electromechanical Oscillation Modes Based on NExT-PRCE Method[J]. Transactions of China Electrotechnical Society, 2018, 33(1): 121-130.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.161489 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I1/121

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