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作 者:NI JingMin SHEN Chen LIU Feng
出 处:《Science China(Technological Sciences)》2012年第6期1677-1687,共11页中国科学(技术科学英文版)
基 金:supported by the National Natural Science Foundation of China (Grant No. 51177079);the Program for Century Excellent Talents in University of China (Grant No. NCET-028-0317)
摘 要:Estimating low-frequency oscillation modes and the corresponding mode shapes based on ambient data from WAMS measurements has a promising prospect in power system analysis and control.Based on the stochastic subspace method,this paper proposes a revised stochastic subspace method by introducing reference channels,which can estimate the modes and the mode shapes simultaneously with great computational efficiency.Meanwhile,the accuracy of the estimated results is not degraded.To discriminate the real modes from the spurious ones,the stabilization diagram is introduced.A novel algorithm is designed to deal with the stabilization diagram which can detect the real modes automatically.Tests conducted on the IEEE-118 system indicate that the proposed method has good performance in terms of both computational efficiency and accuracy,and has the potential of being used on-line.
关 键 词:electromechanical oscillation ambient data stochastic subspace method reference channels stabilization diagram
分 类 号:TP274.2[自动化与计算机技术—检测技术与自动化装置] TM712[自动化与计算机技术—控制科学与工程]
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