Full coverage of communication networks is of great significance in areas such as people's livelihood

military

and rescue. Base stations in remote areas generally suffer from problems

such as high electricity costs

large carbon emissions

and the need for frequent periodic maintenance. The integration of distributed PV systems and energy storage systems can effectively alleviate the above problems. The configured capacity of PV panels and energy storage batteries has a significant impact on electricity costs

carbon emissions

and system reliability. This paper proposes an optimization method for off-grid base stations using a hybrid energy system composed of photovoltaic (PV) panels

energy storage batteries

and diesel generators. The detailed behavior of power electronic converters in the power supply system is fully considered

and a more precise model for converter efficiency and reliability is established. With the economic

ecological

and reliability factors as optimization objectives

this paper utilizes the non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) to deduce the Pareto front

and optimizes the capacities of PV panels

energy storage batteries

and diesel generators.