QR decomposition method of power flow Jacobian matrix for GPU acceleration
A technology of QR decomposition and power flow, applied in the field of GPU thread design, can solve complex and other problems, achieve the effect of improving efficiency, improving computing efficiency, and solving the time-consuming effect of power flow calculation
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[0084] Such as image 3 As shown, the QR decomposition method of a GPU-accelerated power flow Jacobian matrix of the present invention, the method includes:
[0085] (1) Perform QR symbolic decomposition on the Jacobian matrix J in the CPU to obtain the sparse structure of the Household transformation matrix V and the upper triangular matrix R matrix. The sparse structure of J after symbolic decomposition is equal to V+R; according to the sparse structure of the R matrix, Parallelize and stratify each column of matrix J.
[0086] (2) Calculate the layered QR decomposition kernel function SparseQR in the order of increasing levels in the GPU.
[0087] 1. QR symbolic decomposition method for power flow Jacobian matrix J in CPU
[0088] First, perform QR symbolic decomposition on the Jacobian matrix J in the CPU to obtain the sparse structure of the Household transformation matrix V and the upper triangular matrix R. The sparse structure of J after the symbolic decomposition is...
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