Active power distribution network dynamic virtual cluster division method based on model prediction control
A technology of model predictive control and active distribution network, applied in the direction of electrical components, circuit devices, photovoltaic power generation, etc., can solve the problem of continuous changes in the state of the power grid, the difficulty of cluster division results to meet the operation control of the active distribution network, and fluctuations in the output of distributed energy and other problems, to achieve the effect of moderate number of nodes, simplified dynamic cluster division process, and stable cluster division results
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[0087] Example
[0088] In order to verify the effectiveness of the solution of the present invention, in figure 2 The simulation experiment is performed in the modified IEEE33 node power distribution system shown. In the experiment, the intraday cluster division rolling optimization link is set to 30min as the step size, ie ΔT=30, the starting period is 30min, and the solution time is 2h in the future, ie M=4; the real-time feedback correction link is set to 10min as the starting period.
[0089] 1) System parameter setting
[0090] Nodes 8 and 30 are installed with controllable distributed energy sources, with controllable active and reactive power output. Nodes 14 and 25 are installed with photovoltaics, and nodes 24 and 32 are installed with wind turbines. Photovoltaics and wind turbines have uncontrollable power and controllable reactive power.
[0091] The distributed energy installation nodes and installed capacity are shown in Table 1.
[0092] Table 1 DG installation capacit...
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