A study of integral load transfer optimization for active distribution networks based on improved minimum spanning tree algorithm

The current active distribution network integrated load transfer form is mostly a regional independent transfer processing, the overall application target processing speed is slow, resulting in the final network loss rate increases, so we propose to improve the minimum spanning tree algorithm based on the active distribution network integrated load transfer optimization research. According to the current transfer optimization processing, unit load calculation is carried out first, and the form of hierarchical processing is used to strengthen the processing speed of the application objectives and set the level of one load transfer. On this basis, an improved minimum spanning tree measurement active distribution network load transfer optimization model is constructed, and a balanced scheduling process is adopted to realize load transfer optimization. The final test results show that, compared with the robust optimization model of source-network load cooperative wind power demand response management and the non-intrusive load monitoring method of grid with semisupervised deep learning framework, the improved minimum spanning tree optimization method of active distribution grid integrated load transfer optimization results in a relatively low network loss rate and a high number of load transfers, which indicates that the optimization effect of the load transfer optimization of the design has been further improved, and the optimization is more targeted. This indicates that the load transfer optimization effect of this design has been further improved, the optimization is more targeted, and the verification of the preset practical tasks is completed.