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Iterative infinitesimal generator discretization-based eigen-analysis of large power system considering wide-area communication delays

机译:考虑广域通信时延的基于迭代无穷小生成器离散化的本征分析

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In the processing of wide-area measurements, time delays are inevitably introduced into power system. The characteristic equation of the time delay power system is transcendental. For stability analysis of large scale power systems considering wide-area time delays, an iterative infinitesimal generator discretization (HGD) based eigenvalue method is proposed in this paper to accurately compute a reduced set of rightmost eigenvalues. Firstly, a sparse approximant matrix to the infinitesimal generator of the time delay power system is formulated. Secondly, a set of approximants to rightmost eigenvalues of the system are computed by implicitly restarted Arnoldi (TRA) method from the shifted and inverse approximant matrix. Then, the corresponding accurate eigenvalues are obtained by the Newton's method. Since the sparsity of both the approximant matrix and the augmented system matrices is fully exploited, the involved huge computational burden is alleviated which makes the method able to efficiently handle power systems considering wide-area time delays. The results of the two-area four-machine test system demonstrate the effectiveness of the proposed method.
机译:在广域测量的处理中,不可避免地会在电源系统中引入时间延迟。时滞电力系统的特征方程式是超验的。为了考虑广域时滞的大规模电力系统的稳定性分析,提出了一种基于迭代无穷小发电机离散化(HGD)的特征值方法,以准确地计算出一组最右边的特征值。首先,建立了时滞电力系统无穷小发电机的稀疏近似矩阵。其次,通过隐式重新启动的Arnoldi(TRA)方法,根据平移的逆近似矩阵,计算出系统最右特征值的近似值。然后,通过牛顿法获得相应的准确特征值。由于充分利用了近似矩阵和扩充系统矩阵的稀疏性,因此减轻了所涉及的巨大计算负担,这使得该方法能够有效地处理考虑了广域时延的电力系统。两区域四机测试系统的结果证明了该方法的有效性。

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