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Application and Improvement of Hilbert-Huang Transform in Subsynchronous Oscillation Mode Parameter Identification

机译:Hilbert-Huang变换在子同步振荡模式参数识别中的应用与改进

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The standard Hilbert-Huang transform method has modal aliasing phenomenon during the empirical mode decomposition. In order to use the Hilbert-Huang transform to fully identify the subsynchronous oscillation modal parameters, an improved Hilbert-Huang transform method is proposed. After filtering the simulation signal of the subsynchronous oscillation, the Hilbert-Huang transform is applied to identify the modal parameters of the subsynchronous oscillation. Finally, based on the simulation case of the IEEE first standard model of subsynchronous oscillation, the improved Hilbert-Huang transform is used to identify the subsynchronous oscillation modal parameters. The simulation results show that the method can fully identify the subsynchronous oscillation modal parameters.
机译:标准的Hilbert-Huang变换方法在经验模式分解过程中具有模态锯齿现象。 为了使用Hilbert-Huang变换来完全识别子同步振荡模态参数,提出了一种改进的Hilbert-Huang变换方法。 在过滤子同步振荡的模拟信号后,应用HILBERT-Huang变换以识别子同步振荡的模态参数。 最后,基于IEEE第一标准模型的子同步振荡的仿真情况,改进的Hilbert-Huang变换用于识别子同步振荡模态参数。 仿真结果表明,该方法可以完全识别子同步振荡模态参数。

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