Automatic adjustment method and device for load flow calculation convergence
A power flow calculation and power flow technology, applied in the field of power system, can solve the problems of high labor cost, inaccuracy, and low efficiency in adjusting the convergence of large power grids.
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Embodiment 1
[0061] In this embodiment, a small calculation example is used to verify first, and the method of the present invention is applied to the small calculation example to adjust the power flow by balancing the active power and reactive power, so that the non-convergent samples adjust the operation mode to calculate convergence. The test results have verified the effectiveness of the present invention.
[0062] Furthermore, in the small calculation example, in order to be close to the actual project, capacitors and reactors are added to the low-voltage bus of the CEPRI36 node system, so that the system can withstand larger power flows and more reactive power imbalances. Based on the initial convergence power flow of the system itself, the generator and load are randomly changed between 0 and 4 times, and the switching conditions of the capacitive reactor are changed at the same time to generate 9711 sets of data. According to the power flow calculation, among the 9711 sets of data,...
Embodiment 2
[0066] In the embodiment of this application, the verification is carried out in the Northeast Power Grid, and the method of the present invention is used to adjust the power flow by balancing the active power and reactive power, so that the non-convergent samples adjust the operation mode to calculate the convergence. The test results verify the effectiveness of the present invention in the actual system.
[0067] Further, for the test results, see Image 6 , compared with the 36-node system, the results of Northeast Power Grid under Scheme 1 are much worse than those of Scheme 1, mainly because in large power grids, the range of switching capacitors is wider, and it is not easy to effectively balance reactive power. Under scheme 2, when each episode includes 100 steps, 43% can converge within 10 steps, and 8% are difficult to converge within 100 steps. When each episode includes 200 steps, only 3% are difficult to converge, and the effect of adjusting the convergence is low...
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