Abstract：The uncertainty of wind power has effect on small disturbance stability of power system, and the wind speed of wind farm with near geographical position has a certain correlation. This paper established the dynamic model of doubly fed induction generator (DFIG), a wind farm cluster model considering wind speed correlation is established by using Nataf transform. Using stochastic response surface method (SRSM), taking wind speed as input, eigenvalues, damping ratio and frequency of system as output, the small disturbance stability is analysized. At the same time, probability distribution point selection method based on linear independent principle is used to choose the effective distribution point, which improves the computational efficiency of SRSM. In the 10 machine 39 bus system, comparing SRSM with Monte Carlo method, the results show that the SRSM calculation results are precise and reliable, the computation time is far less than the Monte Carlo computation time, and can realize the rapid assessment of the small disturbance stability analysis of power systems. Whether considering the correlation of wind speeds were compared. Results show that considering the correlation of wind speed has smaller fluctuation of the small disturbance analysis result, which has a more clear guiding significance for the safe and stable operation of power system.
马燕峰, 刘佳, 闫纪源. 基于随机响应面法的含风电电力系统小扰动稳定性分析[J]. 电工技术学报, 2017, 32(6): 49-57.
Ma Yanfeng, Liu Jia, Yan Jiyuan. Small Disturbance Stability Analysis of Power System Containing Wind Power Based on Stochastic Response Surface Method. Transactions of China Electrotechnical Society, 2017, 32(6): 49-57.
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2017, Vol. 32 
