Multi-objective capacity optimization configuration strategy for hybrid energy storage microgrid in remote area 5G base stations

In this paper, a multi-objective capacity optimization allocation strategy for hybrid energy storage microgrids applicable to 5G base stations in remote areas is proposed. The strategy combines photovoltaic (PV) power generation system, lithium battery and lead-acid battery energy storage system to minimize the average annual investment cost and electricity consumption cost of the system through a multi-objective optimization model. In this paper, the mathematical model of the system is firstly constructed, and then based on the YALMIP toolbox and CPLEX solver, a multi-objective optimization model with economy as the core is established, and finally, the economy and reliability of the hybrid energy storage system scheme, the single energy storage system scheme, and the pure photovoltaic system scheme are compared and analyzed by taking the case study of a 5G base station in a remote area in Guangxi. The results show that the proposed model is of great significance in promoting the popularization of 5G communication technology in remote areas.