In order to solve the problem that"5G base station+photovoltaic system+battery energy storage system"sys-tem is difficult to balance the system economy and cellular network performance,in this paper,a two-layer optimization model is established to solve this joint optimization problem.In the outer model,the time scale is compressed to 1 day,and the simulated annealing-particle swarm optimization algorithm is used to solve the photovoltaic energy storage capacity of the base station configuration.The optimization goal is to maximize the return on investment of the system while meeting the re-quirements of utilization of photovoltaic energy.In the inner model,the time scale is set at 1 hour,and the Lagrange duality decomposition method is used to solve the transmission power distribution strategy of the base stations.The optimization goal is to make the hourly carbon efficiency of the network optimal under the requirement of user service rate.Through the eco-nomic analysis of the hybrid energy supply cellular network system,the relationship between return on investment of system and the photovoltaic area and battery energy storage capacity of system is obtained,respectively,and so is carbon efficien-cy.Simulation results show that return on investment of the system can reach 380.3％and the utilization of photovoltaic en-ergy can reach 96.5％by using the algorithm in this paper.Compared with the water filling algorithm,the inner carbon effi-ciency optimization algorithm reduces carbon emissions by 31.8％.
关键词
混合供能蜂窝网络/光伏储能配置优化/投资回报率/网络碳排放效率
Key words
cellular networks with hybrid energy supply/photovoltaic energy storage configuration optimization/return on investment/network carbon efficiency
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