Abstract：Considering the characteristics of the coefficient matrix of Newton power flow equations for a large scale power system, such as high dimension, sparse and unsymmetrical, a parallel solving method of Newton power flow equations using a preconditioned generalized-minimal-residual (GMRES) method is presented. Based on the structural characteristics of block-Jacobi preconditioners matrix and the number of parallel processors, a preconditioner for the parallel computing process for power flow, which is designed as a quasi-diagonal parallel preconditioner matrix is proposed. A parallel computing method for the iterative corrections of Jacobi matrix based on the parallel matrix-vector operational method by performing the vectorization process of Jacobi matrix is also proposed in this paper. Case studies of 7 680 and 12 000 buses power system and other power systems are done. The results indicate that the proposed parallel power flow calculating method has an obvious superiority compared with the traditional parallel method based on the LU factorization method for large scale power systems.
胡博, 谢开贵, 曹侃. 基于Beowulf集群的大规模电力系统牛顿法潮流求解的并行GMRES方法[J]. 电工技术学报, 2011, 26(4): 145-152.
Hu Bo, Xie Kaigui, Cao Kan. Parallel GMRES Techniques for Solving Newton Power Flow of Large Scale Power Systems on the Beowulf Cluster. Transactions of China Electrotechnical Society, 2011, 26(4): 145-152.
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2011, Vol. 26 
