【摘要】 稀疏特征值算法适用于大规模互联电网低频振荡分析,但初始参数的选择目前仍缺乏系统性方法.用Prony算法分析得到互联电网区间低频振荡模式的估计值作为稀疏特征值算法位移逆变换的初始位移点,可以快速、准确地计算出区间低频振荡模式,并为在相关机组上配置PSS以抑制弱阻尼的区间低频振荡模式提供了有力依据.华北-东北互联电网的低频振荡分析表明了该方法的有效性.更多还原

【Abstract】 Sparse eigenvalue algorithm can be used to analyze the low frequency oscillation for bulk inter-area power systems.Presently, the initial parameters choosing for the algorithm is lack of systematic method.The Prony method was used to compute the approximation of the inter-area oscillation modes,which was used for initial shift points of the Shift Inverse transformation of the algorithm.The inter-area low frequency oscillation modes can be obtained quickly and exactly,which provide powerful basis for installing the power system stabilizers(PSSs) on related generators to damp the inter-area low frequency oscillation modes.The simulation results of North China-Northeast China interconnected power system demonstrate the effectiveness of the proposed technique.更多还原