Active power distribution network reconstruction algorithm and device based on improved teaching optimization
A technology for active distribution network and teaching optimization, applied in computing, computing model, machine learning and other directions, can solve problems such as falling into local optimum, achieve the effect of power supply path optimization, improve computing speed and global search ability
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[0040] The specific embodiment of the present invention is as figure 1 shown.
[0041] In this embodiment, an active distribution network reconstruction algorithm based on improved teaching optimization includes the following steps:
[0042] (1) Define the minimum expected value of active network loss as the objective function;
[0043] (2) Considering constraints such as branch current, node voltage, power balance, and distributed power, establish an objective constraint function;
[0044] (3) Use the improved teaching optimization algorithm to initialize the grid parameters and input relevant data; according to the divided time period, use the corresponding method to process the distributed power.
[0045] (4) Based on the simplified power distribution network, a non-repetitive spanning tree strategy is used to generate various radial network structures. That is, students in different classes determine the initial population and encode it.
[0046] (5) Initialize the cod...
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