مديريت شارژ و دشارژ خودروهاي برقي با هدف تراشيدن قله و پركردن دره با در نظر گرفتن محدوديت هاي فني

The aim of this research is to investigate an‎d present a method for the optimal management of electric vehicle (EV) charging an‎d discharging, with the objective of peak shaving an‎d valley filling in the power grid. Given the rapid increase in EV penetration in distribution networks, the lack of proper planning can lead to increased peak loads, heightened pressure on the grid, rising operational costs, an‎d reduced battery life. Therefore, the primary objective of this research is to design an optimal framework for scheduling EV charging an‎d discharging, such that both grid stability an‎d efficiency are improved, while considering technical constraints, economic factors, an‎d requirements related to battery health. In this study, we first examine the theoretical foundations of load management, grid performance indicators such as load factor an‎d peak-to-average ratio, as well as Vehicle-to-Grid (V2G) an‎d Vehicle-to-Home (V2H) technologies. Subsequently, by reviewing previous studies, the gaps in comprehensive an‎d simultaneous modeling of grid stability, dynamic pricing, an‎d cyclic effects on batteries are identified. Based on this, a multi-objective mathematical model is proposed to determine the charging an‎d discharging patterns of EVs, which can flatten the grid load profile, reduce energy costs, an‎d prevent additional stress on the network. The results of this approach demonstrate that intelligent management of electric vehicles can lead to peak load reduction, increased load factor, valley filling, lower operational costs, an‎d improved grid stability. In conclusion, this research suggests that the utilization of electric vehicles is not a threat to the grid; rather, if employing an optimal strategy, they can act as an effective resource for energy management an‎d enhancing grid performance.

حميدرضا عبدالمحمدي , امير حسيني

محمد اسماعيل نظري , مصطفي منيري