基于GaBP算法的快速潮流計(jì)算方法
[Abstract]:The iterative solution of Jacobian matrix equations and its convergence are studied. Firstly, the PQ decomposition method is used to solve the power flow iterations. Aiming at the symmetry and diagonal dominance of Jacobian matrix, Gao Si confidence propagation algorithm (GaBP) is used to solve Jacobian matrix equations. The convergence of GaBP algorithm is improved by using Steffensen accelerated iteration method. The simulation results of IEEE118,IEEE300 node standard system and two large scale interconnected power systems in Poland show that: with the increase of system size, The accelerated GaBP algorithm using Steffensen accelerated iteration method has better convergence than the pre-processing generalized minimal residual method based on incomplete LU, which provides a new idea for fast power flow calculation of large-scale power systems.
【作者單位】: 三峽大學(xué)電氣與新能源學(xué)院;
【分類(lèi)號(hào)】:TM744
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