International Journal of New Developments in Engineering and Society, 2017, 1(4); doi: 10.25236/IJNDES.17406.
Xin Li1,2, Youping Fan2, Panfeng Guo1
1. Three Gorges University, YiChang 443000, China
2. Wuhan University, Wuhan 430072, China
Considering that Prony algorithm is very sensitive to input signal and sensitive to the noise of analysis data, a new identification method of online low frequency oscillation mode of power system based on fuzzy filter and Prony algorithm is proposed. The method uses wide area measurement signal as input, and it can filter the input signal quickly through very simple fuzzy logic reasoning. After analyzing the filtered digital signal by Prony algorithm, the mode of power system low frequency oscillation can be obtained. A 1648-bus system is offered from PSS/E software for the analysis. By comparing the input signals before and after the fuzzy filter, this method can be more accurately identified by the mode of oscillation.
Fuzzy filter; On-line identification; power system; Low frequency oscillation
Xin Li, Youping Fan, Panfeng Guo. On-line identification method for low-frequency oscillation of power system based on fuzzy filtering. International Journal of New Developments in Engineering and Society (2017) Vol.1, Num.4: 25-28.
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