Applied study of narrow-band mode decomposition for identifying the parameters of low frequency oscillations in power systems
Zhang Xiaodian1, Wang Kaifu2, Fang Lianhang1, Liang Yu1, Yang Deyou2
1. Electric Power Research Institute of Hainan Power Grid Co., Ltd, Haikou 570125; 2. School of Electrical Engineering, Northeast Dianli University, Jilin, Jilin 132012
Abstract：According to narrow-band feature of low-frequency oscillation, this paper proposed a narrow-band mode decomposition to adapt non-stationary power oscillating signal in power systems. For extracting stationary nar-row-band mode function, narrow-band mode decomposition employs the characteristic of narrow-band signal to construct objective function, and uses sifting process of iterative reconstruction to replace traditional optimization algorithm. This paper use narrow-band mode decom- position to extract oscillating components, and then the least square method to be applied to identify the oscillating parameters. The availability of this method is confirmed by the results of test signal and measured data. Contrasting with empirical mod decomposition to draw a conclusion that the adap-tation of this method for extracting the parameters of low-frequency oscillation.
张小店, 王楷夫, 方连航, 梁钰, 杨德友. 窄带模态分解算法在电力系统低频振荡特征参数辨识中的应用研究[J]. 电气技术, 2019, 20(4): 61-66.
Zhang Xiaodian, Wang Kaifu, Fang Lianhang, Liang Yu, Yang Deyou. Applied study of narrow-band mode decomposition for identifying the parameters of low frequency oscillations in power systems. Electrical Engineering, 2019, 20(4): 61-66.
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2019, Vol. 20 
