A gpu thread design method for power flow Jacobian matrix calculation
A technology of power flow and design method, which is applied in the direction of electrical components, circuit devices, AC network circuits, etc., and can solve problems such as inability to program to give full play to the advantages of GPU, optimize thread design, etc.
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[0066] Such as figure 1 As shown, the present invention proposes a GPU thread design method based on a GPU-based power flow Jacobian matrix calculation using a mapping relationship to allocate computing resources. The method includes the following steps:
[0067] Assuming that the number of nodes in the power grid is n, the node admittance matrix Y{i, j, G, B} of the power grid is stored in the COO sparse format of row number, column number, conductance, and susceptance, and the index in the COO format is converted into CompressedSparseRow( CSR) row compression format, the row offset array vector is R, the node voltage phase angle vector is θ, and the voltage amplitude vector is V;
[0068] Step 1: Generate query table M H2Y , M N2Y , M J2Y , M L2Y
[0069] 1) Scan the node admittance matrix Y in COO format, select the elements corresponding to H matrix calculation and add them to the set H Y , generate query table M H2Y ;
[0070] a) Scan the line number i of each ele...
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