Modeling and optimization of a photovoltaic cell system with battery storage for supply energy requirement

At present, the use of smart systems to reduce energy consumption has been developing more and more, and the need to use these systems plays a significant role in energy systems. Smart systems can play a significant role when there are many energy production sources and there are various loads in the system. In this research, the smart system of the sports stadium is evaluated considering the renewable energy resources, and the electric vehicles are also one of the demanded loads. The studied system uses a solar cell to supply the electric load, which is used to model the equipment using GAMS software. Different scenarios have been evaluated considering the uncertainty in solar radiation intensity. Furthermore, the conditional value at risk measure is considered to manage and reduce the risk of smart sports stadium energy supply cost. Finally, the effects of the battery capacity of electric vehicles on the installed solar cell power and the cost of the produced energy have been evaluated. The results indicate that in a scenario based on a system consisting of an electric vehicle under a photovoltaic cell and a battery, the energy cost will be equal to around 111.2 cents, which represents a 34% reduction compared to a different scenario. This can be an important achievement in the design of sports stadiums under smart energy systems. Furthermore, the developed strategy in this article can manage the load shifting and the operation of the electric vehicle and the storage system during the charging and discharging periods.