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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 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...
Based on Hilbert-Huang transform (HHT), the authors propose a practical method to extract time-varying oscillation characteristic of power system from the data measured by wide area measurement system (WAMs). The proposed method can analyze local dynamic behavior and characteristics of non-stationary nonlinear signals, better reflect the time-varying law of multi modes involved in oscillation process...
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