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A Hybrid Method for the Estimation of Power System Low-Frequency Oscillation Parameters

机译:电力系统低频振荡参数估计的混合方法

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A hybrid method which combines four different algorithms for low-frequency oscillation parameter estimation using wide-area measurements is presented in this paper. The first algorithm is the discrete Fourier transform which is used to start the low-frequency oscillation estimation process. The second one is the finite-impulse response (FIR) window filter which is employed in filtering unwanted components, and window correction factor is provided to eliminate the side effect of FIR window filter. The third one is the prototype algorithm which is proposed to estimate low-frequency oscillation parameters, and the last one is the least-square error method which is employed to enhance the computational accuracy by varying the window size. This hybrid method has been implemented in wide-area phasor measurements system by Java language and is under test in Taiwan's power system. Matlab/Simulink simulation and field test results are provided in the present paper.
机译:本文提出了一种混合方法,该方法结合了四种使用广域测量的低频振荡参数估计算法。第一种算法是离散傅里叶变换,用于启动低频振荡估计过程。第二个是有限冲激响应(FIR)窗口滤波器,用于过滤不需要的分量,并且提供了窗口校正因子以消除FIR窗口滤波器的副作用。第三个是用于估计低频振荡参数的原型算法,最后一个是最小二乘误差方法,用于通过改变窗口大小来提高计算精度。这种混合方法已通过Java语言在广域相量测量系统中实现,并且正在台湾的电力系统中进行测试。本文提供了Matlab / Simulink仿真和现场测试结果。

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