The integration of numerous distributed power sources into the grid requires the effective use of demand side resources for regulation.This reduces demand side electricity costs and improves the operational revenue of the distribution network.The rapid growth of 5G base stations has made uninterruptible power supply (UPS) a key demand side resource for the distribution network.Applying the Minkowski and aggregated UPS for the virtual power plant participates in regulating the distribution network for the sake of the large amounts of the 5G base stations.An incentive mechanism is implemented in demand side regulation

utilizing the VPP′s ability to track the similarity to the quasi load curve

thereby increasing VPP participation.A distributed optimal scheduling model is developed for 5G base stations participating in the control of the distribution network

considering the conflicting interests of the base station owners and the distribution network.The model is divided into two optimization sub problems:one for the distribution network

and the other for the virtual power plant (VPP).The alternating direction method of multipliers (ADMM) uses adaptive relaxation penalties to solve each sub problem in a distributed manner

maximizing the benefits for both parties.Simulation results based on practical scenarios show that the proposed approach can reduce operational costs for 5G base stations and improve the integration of renewable energy into the distribution network.