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This paper presents an alternative method for estimating coherence of Inter-Area Oscillation(IAO) mode using Enhanced Empirical Mode Decomposition(E-EMD) technique and Correlation analysis(CA). It firstly extracts the components associated with the objective inter-area modes from each tie-line active power signal by utilizing the E-EMD techniques. Then the cross-correlation coefficients resulted from...
In order to enrich the acquisition means for the coherence index in the dynamic characteristics of inter-area oscillation(IAO), this paper proposed an integrated algorithm for tracking coherence of electromechanical oscillation using Masking Signal based Empirical Mode Decomposition (MS-EMD) and Correlation Analysis(CA). The case study has been carried out on a simplified system of Southeastern Australian...
This paper presents a novel approach for estimating mode shape for participation (MSFP) among areas or main power plants involving inter-area oscillation (IAO) mode, by analyzing power deviation (ΔP) signals. The case study has been carried out on a planning case in East China Power Grid (ECPG). The results indicate that the proposed algorithm is effective, and imply its potential applicability in...
This paper presents a novel algorithm for rapid estimating mode shape and checking the corresponding mode for inter-area oscillation (IAO) using correlation analysis (CA). It firstly extracts the weak damping components strongly associated with the objective IAO mode from the tie-line active power signals came from wide area measurement system (WAMS), through a low-pass or band-pass filter which is...
This paper presents a new algorithm for rapid estimating inter-area oscillation(IAO) mode shapes and corresponding modes using correlation analysis(CA). It firstly extracts a weak damping component strongly associated with objective mode from each tie-line active power signal came from WAMS(Wide Area Measurement System), through a low-pass or band-pass filter which is designed by a priori modal knowledge...
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