Research on Optimal Regulation of Photovoltaic Integrated 5G Base Stations Based on K-means Clustering Algorithm

In recent years, with the massive construction and dense distribution of 5G base stations (BSs), the cost of electricity consumption for communication operators and carbon emissions have surged. Therefore, the configuration of distributed photovoltaics for BSs has become a research focus. However, the high computation complexity of massive 5G BSs regulation seriously affects the solution speed of BSs optimal regulation. For this reason, the research on optimal regulation of photovoltaic integrated 5G BSs based on K-means clustering algorithm is proposed. Firstly, this paper models photovoltaic integrated 5G BSs based on the communication load characteristic of BSs. Furthermore, a clustering strategy for 5G BSs based on K-means algorithm is proposed, and an economic optimization model for photovoltaic integrated 5G BSs is constructed based on the clustering results. Finally, the clustering results of massive photovoltaic integrated 5G BSs are discussed through simulation examples. Simulation results show that the research can fully improve the optimal regulation speed of 5G BSs while ensuring their regulation potential, thereby quickly achieving economic operation of BSs.