摘要：AbstractAs the increase of electric vehicles using, questions and problems arise regarding the infrastructure for their charging, so satisfying more charging demand at same time is expected for charging stations requires more attentions to the charging infrastructure planning. This paper presents an optimization tool for solar infrastructure charging, making it possible to obtain an optimized linear power flow with constraints of valid recharging time, daily consumption of electric vehicles, and the daily PV power production. This solution is based on an optimization algorithm making it possible to choose the most optimal charging stations for a given site according to the need for mobility. However, this criterion is not the only one taken into account. An additional investment cost criterion is considered in order to obtain a charging infrastructure that meets criteria that are closer to the social and economic reality of the population. It offers also a human-machine interface in the form of an Excel Template allowing to establish an interactive communication between the user and the optimization algorithm, it allows the receiver of user perspectives and the visualization of optimization results.
关键词：KeywordsOptimization toolCharging infrastructureElectric vehiclePythonPYPSAOptimal linear power flowPV power
