Abstract
In this paper, we address a decentralized power production and management system based on Game Theory (GT) for Electric Vehicles' (EVs') interplay with a Decentralized Electric Vehicle Supply Equipment (D-EVSE) located at the public supply station. Renewable energy production such as solar energy (PV) is considered as the main power source for our D-EVSE and we consider the connection to the grid when the solar renewable energy system is failing to respond to the demand. We propose a decentralized GT (D-GT) scheme aiming to optimize the EVs' interaction with the D-EVSE considering both EVs' satisfaction as well as the D-EVSEs' stability. Also, the D-GT model is used to choose the optimal available solution for EV charging or discharging services that fulfill predefined constraints. A realistic scenario is considered as a testbed for our D-GT optimization model. Simulation results indicate that the proposed model can manage and control the interaction between EVs and D-EVSEs efficiently.
Highlights
With the growth in the Electric vehicle (EV) market due to its releasing of zero air pollution and reduction of greenhouse gas (GHG) emissions in smart cities, the power demand will increase
From the previous two figures and tables, it is clear that the performance of the proposed optimization model based on D-Game Theory (GT) has proven its robustness of this optimization in terms of managing the interactions among the EVs and Decentralized EV Supply Equipment (D-EVSE) while taking into account our defined constraints
In this paper, we discussed a decentralized EVSE in terms of power generation and management model based on a GT for EVs interacting with D-EVSEs
Summary
With the growth in the Electric vehicle (EV) market due to its releasing of zero air pollution and reduction of greenhouse gas (GHG) emissions in smart cities, the power demand will increase . By 2030, the number of EVs will be more than 100 million globally [1] While this will create a huge power charging demand which must be managed, EVs have the potential to provide a good opportunity for power storage by supporting the power grid as Vehicle to Grid (V2G) service [2], [3]. The D-GT is the most important aspect of our model, as it allows each EV to manage its charging and discharging service demands based on the concept of win-win while taking into account the defined constraints. Our contributions are as follows: 1) We introduce a D-GT model to optimize the EV charging and discharging service demand.
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