Aggregator Design for Optimal Management of Charging and Discharging of Electric Vehicles in the Smart Grid Context

The reduction of fossil fuel reserves, advancements in science and technology, increased network loading, the emergence of new energy sources and loads, etc., have contributed to the rise of smart grids. Within smart grids, distributed generation resources play a pivotal role in meeting the network's power requirements. Among these resources, renewable energies and electric vehicles are notable examples. In this context, the presence of electric vehicles on smart grids has led to numerous opportunities and challenges, underscoring the need for effective management of these vehicles. Among these concepts, a relatively new one known as the “Electric Vehicle Aggregator” is introduced. This aggregator provides the opportunity to participate in the demand-side management of energy networks by managing the scheduling of electric vehicle charging and discharging. In this paper, an attempt has been made to reduce the energy received from the grid by using the solar microgrid and considering the ability to connect to the upstream grid, and designing a new aggregator to maximize the profit of the owner of the aggregator. The proposed model has been designed, implemented, and tested over a 25-year time period using Homer software. The simulation results also show that using the proposed model despite considering the initial investment of the solar microgrid in the target functions, improvement and increase in the profit of the aggregator owner. The cost of the aggregator in the proposed method of this paper is 24.48$, while the same cost in the method used in the main reference is 29.62$.