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- W3093834134 abstract "Due to the expansion of China’s power grid scale, low-frequency oscillations and sub-synchronous oscillations frequently affect the safe and stable operation of the power grid. It is of great practical significance to research and analyze these two oscillations. Wide frequency measurement provides technical means for simultaneous monitoring of low frequency oscillations and sub-synchronous oscillations. Based on wide frequency signals, an appropriate algorithm can be used to analyze the oscillation mode. The Prony algorithm is commonly used to identify the oscillation mode parameters, but the length of the time window and order have a greater impact on the identification results. In this paper, the time window length selection method and the order determination method without threshold value based on SVD are proposed to determine the two values adaptively. Then the comparison of the algorithms before and after improved are given. Finally, applying low-frequency oscillation measured data and four-machine two-area system and IEEE first standard model simulation data to verify the applicability of the improved algorithm to low-frequency oscillation and sub-synchronous oscillation identification." @default.
- W3093834134 created "2020-10-29" @default.
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- W3093834134 date "2020-09-01" @default.
- W3093834134 modified "2023-09-23" @default.
- W3093834134 title "Wide frequency oscillation mode identification based on improved Prony algorithm" @default.
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- W3093834134 doi "https://doi.org/10.1109/appeec48164.2020.9220689" @default.
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