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A 5g base station virtual power plant feasible region aggregation method based on coupling degree clustering

The application provides a 5G base station virtual power plant feasible region aggregation method based on coupling degree clustering, belongs to the flexible resource aggregation field, and comprises the following steps: a super-dense heterogeneous 5G base station network model containing macro base stations and micro base stations is constructed, and base station positions, user distribution, channel parameters and service quality constraints are obtained; the base station coupling degree concept is proposed; the coupling degree is used as the similarity measurement, the greedy clustering idea is adopted, the k-means++ optimization initial value is used as the initial clustering center, the remaining base stations are sequentially grouped into the cluster with the maximum coupling degree, the clustering is iterated, and the dynamic grouping is realized according to the flow prediction change; for each base station cluster, the base station communication energy consumption and energy storage resources that can be reduced are combined, the multi-objective optimization is used to solve the adjustable power internal distribution feasibility, and the cluster-level feasible region is obtained. The application significantly improves the accuracy and efficiency of the 5G base station virtual power plant feasible region aggregation, and provides key technical support for the large-scale participation of 5G base stations in the power system auxiliary service market.
Owner:SHANGHAI JIAOTONG UNIV +2