Generation Unit Correlativity-Based Prony Analysis on Multi-Signal Classification of Low-Frequency Oscillation
Xiaolin Su · Power System Technology · 2011
Power system signals from wide area measurement system(WAMS) can be divided into two categories,namely the similar signals such as the angles of all generation units and non-similar signals such as angle,angular velocity and active power and so on of one and the same generation unit.During the analysis on low-frequency oscillation,in order to avoid both numerical value submerging and cumulative error of sample function matrix,a multi signal classification-based Prony algorithm is proposed.For large-scale power system,according to correlation factors of generation units the correlation matrix is built and according to the built matrix the generation units are divided into groups by the ? decomposition method in graph theory,and in the unit group the similar and non-similar signals are analyzed by Prony algorithm to obtain oscillation information.Calculation results of EPRI-36 system show that the proposed method is effective.