首页|Parameter Estimation of Sub-/Super-synchronous Oscillation Based on Interpolated All-phase Fast Fourier Transform with Optimized Window Function
Parameter Estimation of Sub-/Super-synchronous Oscillation Based on Interpolated All-phase Fast Fourier Transform with Optimized Window Function
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In recent years,with increasing amounts of renew-able energy sources connecting to power grids,sub-/super-syn-chronous oscillations(SSOs)occurred more frequently.Due to the time-variant nature of SSO magnitudes and frequencies,as well as the mutual interferences among SSO modes with close frequencies,the accurate parameter estimation of SSO has be-come a particularly challenging topic.To solve this issue,this paper proposes an improved spectrum analysis method by im-proving the window function and a spectrum correction method to achieve higher precision.First,by aiming at the sidelobe characteristics of the window function as evaluation criteria,a combined cosine function is optimized using a genetic algorithm(GA).Furthermore,the obtained window function is self-con-volved to extend its excellent characteristics,which have better performance in reducing mutual interference from other SSO modes.Subsequently,a new form of interpolated all-phase fast Fourier transform(IpApFFT)using the optimized window func-tion is proposed to estimate the parameters of SSO.This meth-od allows for phase-unbiased estimation while maintaining algo-rithmic simplicity and expedience.The performance of the pro-posed method is demonstrated under various conditions,com-pared with other estimation methods.Simulation results vali-date the effectiveness and superiority of the proposed method.
Sub-/Super-synchronous oscillation(SSO)win-dow functionparameter estimationinterpolated all-phase fast Fourier transform(ApFFT)
Bo Sun、Xi Wu、Xi Chen、Zixiao Zou、Qiang Li、Bixing Ren
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School of Electrical Engineering,Southeast University,Nanjing,China
State Grid Jiangsu Electric Power Company Limited Research Institute,Nanjing,China
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