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A Parallel Calculation Method of Power System Load Margin

A load margin and power system technology, which is applied in the field of parallel calculation of power system load margin, can solve problems such as difficult parallel calculation and strong data correlation, so as to reduce the cumulative number of iterations, increase calculation accuracy, and improve calculation efficiency Effect

Active Publication Date: 2022-03-29
NORTHEAST DIANLI UNIVERSITY
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

In addition, the LU decomposition process is carried out row by row, the solution of the variables to be obtained is closely related to the variables to be obtained, and the data correlation is strong, so it is not easy to realize parallel computing

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  • A Parallel Calculation Method of Power System Load Margin
  • A Parallel Calculation Method of Power System Load Margin
  • A Parallel Calculation Method of Power System Load Margin

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Experimental program
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Embodiment 1

[0045] An embodiment of the present invention provides a parallel calculation method of a power system load margin, the method comprising the following steps:

[0046] 101: Use the second-order derivative based on the load parameter to estimate the initial value, and obtain the initial value x of the critical point 0 , the initial value g of the right eigenvector corresponding to the zero eigenvalue 0 , and the initial value of load margin λ 0 ;

[0047] 102: Construct the correction equations corresponding to the direct method nonlinear equations based on the above parameters, and split the correction equations into four sets of linear equations with the same coefficients and low-dimensional matrices through order reduction transformation;

[0048] 103: Based on the CPU-GPU hybrid architecture, the Jacobi+ILU two-stage preprocessing and the BICGSTAB iterative solution method are combined to solve the reduced-order linear equations in parallel, thereby realizing the fast sol...

Embodiment 2

[0051] The overall framework of the embodiment of the present invention is as figure 2 As shown, it can be divided into the CPU computing part and the GPU computing part, and the parallel acceleration is completed by the GPU computing part.

[0052] Among them, the GPU computing part mainly includes:

[0053] Using the BICGSTAB iterative solution method to solve the four sets of linear equations after the order reduction, the process of solving α, β, γ and μ, the embodiment of the present invention calls this process an inner loop;

[0054] Among them, the CPU calculation part mainly includes:

[0055] Use the results α, β, γ, and μ obtained by the GPU to obtain the corrections Δx, Δg, and Δλ, modify the parameters x, g, and λ according to the corrections, and continuously update the coefficient matrix W, and iterate repeatedly until the convergence conditions are satisfied at the same time|| f(x,λ)||x ·g||<ε, the process of obtaining accurate load margin.

[0056] In the ...

Embodiment 3

[0169] The following combined with specific examples, figure 2 , image 3 , Figure 4 And table 1, table 2 carry out feasibility verification to the scheme in embodiment 1 and 2, see the following description for details:

[0170] This example takes the case1354pegase, case2383wp, case2746wop, case2869pegase, case3012wp, case5738, case7092, case9241pegase, case11624, case13173 and case13802 test systems in [13] and [14] as examples to verify the feasibility and effectiveness of this method. The power growth direction of all calculation examples adopts the same proportional growth of all generators and loads. The convergence threshold ε of the Newton cycle in the algorithm is 0.01, and the maximum number of outer loop iterations N is 100; the accuracy of the BICGSTAB iterative solution method ε b is 0.01.

[0171] In order to verify the correctness of the proposed algorithm, the calculation results of this method are compared with the calculation results of CPF, and the res...

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Abstract

The invention discloses a parallel calculation method for the load margin of a power system, which includes: using the second-order derivative based on the load parameter to estimate the initial value to obtain the initial value x of the critical point 0 , the initial value g of the right eigenvector corresponding to the zero eigenvalue 0 , and the initial value of load margin λ 0 ; Based on the above parameters, the correction equations corresponding to the direct method nonlinear equations are constructed, and the correction equations are split into four sets of linear equations with the same coefficient and low-dimensional matrix through the reduction transformation; based on the CPU-GPU hybrid architecture, the The combination of Jacobi+ILU two-stage preprocessing and BICGSTAB iterative solution method solves the linear equations after order reduction in parallel, and then realizes the fast solution of power system load margin. The invention ensures the correctness of the required load margin, has fast calculation speed, and can calculate the load margin of some continuous power flow unable to converge systems.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a parallel calculation method for power system load margins. Background technique [0002] As a performance index to measure the voltage stability level of the power system, the load margin reflects the ability of the system to maintain voltage stability when it is subjected to load and fault disturbances. With the continuous expansion of the grid scale, large-scale grid-connection of renewable energy, and widespread application of demand-side response, there are more and more uncertain factors affecting the accuracy and efficiency of load margin calculation. How to realize the fast and accurate calculation of power system load margin under the background of national grid connection and large-scale grid connection of renewable energy is of great practical significance to the online assessment of power system static stability. [0003] At present, there are two main methods to calcul...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/12G06F17/13G06F17/16H02J3/00
CPCH02J3/00G06F17/12G06F17/13G06F17/16
Inventor 李雪姜涛陈厚合刘烨李国庆张儒峰张嵩王长江
Owner NORTHEAST DIANLI UNIVERSITY
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