CAJ | 학술논문

研究低频振荡特征辨识算法是实现电力系统低频振荡监视的重要理论基础。文章基于 Prony算法，结合变量投影（VP），采用奇异值分解（SVD），应用可分离最小二乘，辨识出Prony算法数学模型参数，不仅避免了传统Prony算法矩阵求逆困难和误差较大的问题，而且降低了参数空间的维数，简化了搜索空间的拓扑结构，增强了模式识别的抗噪性能和运算速度。仿真结果表明，该算法提高了电力系统低频振荡模式识别的效率和精度。
연구저빈진탕특정변식산법시실현전력계통저빈진탕감시적중요이론기출。문장기우 Prony산법，결합변량투영（VP），채용기이치분해（SVD），응용가분리최소이승，변식출Prony산법수학모형삼수，불부피면료전통Prony산법구진구역곤난화오차교대적문제，이차강저료삼수공간적유수，간화료수색공간적탁복결구，증강료모식식별적항조성능화운산속도。방진결과표명，해산법제고료전력계통저빈진탕모식식별적효솔화정도。
Low frequency oscillation characteristic analysis algorithms are used to monitor power sys-tem low frequency oscillation for the control of wide-area damping .In this paper ,the Prony method is integrated with variable projection (VP) approach ,the singular value decomposition (SVD) is used , and the separable nonlinear least squares are applied to identify the parameters of Prony mathematical model .The presented method not only avoids the problem in matrix inverse and larger error of the traditional Prony method ,but also reduces the dimension of the parameter space and simplifies the to-pology structure of the search space .It enhances the antinoise performance of mode identification and improves the computing speed .The simulation results show that the proposed method improves the accuracy and efficiency of the power system low frequency oscillation mode identification .