This paper proposes an empirical wavelet transform(EWT)based method for identification and analysis of sub-synchronous oscillation(SSO)modes in the power system using phasor measurement unit(PMU)data.The phasors from ...This paper proposes an empirical wavelet transform(EWT)based method for identification and analysis of sub-synchronous oscillation(SSO)modes in the power system using phasor measurement unit(PMU)data.The phasors from PMUs are preprocessed to check for the presence of oscillations.If the presence is established,the signal is decomposed using EWT and the parameters of the mono-components are estimated through Yoshida algorithm.The superiority of the proposed method is tested using test signals with known parameters and simulated using actual SSO signals from the Hami Power Grid in Northwest China.Results show the effectiveness of the proposed EWT-Yoshida method in detecting the SSO and estimating its parameters.展开更多
Compared to traditional mode shape identification methods such as eigensystem realization algorithm(ERA),this article proposes a mode shape identification method based on estimated residues of measured data and the th...Compared to traditional mode shape identification methods such as eigensystem realization algorithm(ERA),this article proposes a mode shape identification method based on estimated residues of measured data and the theoretical relationship between the estimated residues and the mode shapes from the state space model is obtained by defining a coefficient matrix.A mass-spring model with five degrees of freedom(DOFs) is utilized to demonstrate the approach.The numerical results indicate that the estimated residues are the mode shapes of structures,but with a coefficient matrix to maintain consistency with the mode shapes from the ERA.Using MATLAB a complicated numerical jacket platform is built to further study the proposed method.The results show that mode shapes consistent with those from the ERA could be obtained by taking the defined coefficient matrix into account,which is also demonstrated by a physical beam model that was built at Ocean University of China.展开更多
基金supported by Korea Electric Power Corporation(No.R21XO01-38)Korea Ministry of Environment(MOE)as Graduate School specialized in Climate Change.
文摘This paper proposes an empirical wavelet transform(EWT)based method for identification and analysis of sub-synchronous oscillation(SSO)modes in the power system using phasor measurement unit(PMU)data.The phasors from PMUs are preprocessed to check for the presence of oscillations.If the presence is established,the signal is decomposed using EWT and the parameters of the mono-components are estimated through Yoshida algorithm.The superiority of the proposed method is tested using test signals with known parameters and simulated using actual SSO signals from the Hami Power Grid in Northwest China.Results show the effectiveness of the proposed EWT-Yoshida method in detecting the SSO and estimating its parameters.
基金the financial support of the National Natural Science Foundation of China(Grant Nos.51379197 and 51522906)the Excellent Youth Foundation of Shandong Scientific Committee(Grant No.JQ201512)
文摘Compared to traditional mode shape identification methods such as eigensystem realization algorithm(ERA),this article proposes a mode shape identification method based on estimated residues of measured data and the theoretical relationship between the estimated residues and the mode shapes from the state space model is obtained by defining a coefficient matrix.A mass-spring model with five degrees of freedom(DOFs) is utilized to demonstrate the approach.The numerical results indicate that the estimated residues are the mode shapes of structures,but with a coefficient matrix to maintain consistency with the mode shapes from the ERA.Using MATLAB a complicated numerical jacket platform is built to further study the proposed method.The results show that mode shapes consistent with those from the ERA could be obtained by taking the defined coefficient matrix into account,which is also demonstrated by a physical beam model that was built at Ocean University of China.
