Aiming at the problems of pollution and high carbon emissions caused by island dependence on diesel energy supply

an islanded integrated energy system multi-objective planning optimization method considering carbon emission was proposed. Based on the construction of equipment model

the annual operation of the system was simulated hourly considering the influence of the climate fluctuation on the output of renewable energy devices

the life cycle costs and life cycle carbon dioxide emissions was taken as the optimization objectives

the multiobjective planning optimization model of islanded integrated energy system was constructed by combining with non-dominated sorting genetic algorithm II

the weighted arithmetic averaging operator was used to make decisions on the optimization results. An island area in Yantai was taken as an example

the influence of typical day and annual hourly data as input on planning results

the influence of investment changes in renewable energy devices and natural gas prices

as as well as wind power and photovoltaic installed capacity and battery capacity on optimization objectives were analyzed. By multi-objective planning optimization of the study area

the optimal capacity of each device under different target weights was obtained. The results showed that the configuration of renewable energy and battery can reduce the life cycle carbon dioxide emissions by 26.95%-55.96%. But when the life cycle carbon dioxide emissions weight was increased from 0.6 to 1

the carbon dioxide emissions were reduced by increasing the battery capacity. At this time

life cycle costs increased by 210.13% and life cycle carbon dioxide emissions only decreased by 8.59%. The proposed island integrated energy system planning method provides a reference for decision makers to balance low carbon cost and energy supply economy when planning islanded low carbon IES.