Event Title

Game-theoretic Electric Vehicles Charging Navigation

Mentor 1

Lingfeng Wang

Location

Union Wisconsin Room

Start Date

29-4-2016 1:30 PM

End Date

29-4-2016 3:30 PM

Description

With the increasing deployment of electric vehicles (EVs), electric vehicle charging stations (EVCSs) are becoming an indispensable public charging infrastructure. As a result, the power system needs to sustain additional stress from the charging loads of EVs, and meanwhile the traffic condition is influenced by the locations of charging stations. This study proposes an integrated charging navigation framework for electric transportation consisting of EVs and EVCSs. Its design accounts for the impacts from both the transportation system and power system. In this research, based on the traffic flow model the decisions of EV drivers are influenced by multiple factors, including the state of charge of EVs, the charging price, the distance to the charging station, and the queueing time. Here a hierarchical game approach is proposed to optimize the strategies of both EVs and EVCSs. At the upper level of the hierarchical game, the competition between EVCSs can be modeled by a non-cooperative game, where the pricing strategies are also considered. For the lower level, evolutionary game strategies are used to enable the EV users to choose EVCSs judiciously. By performing simulation studies, the hierarchical game approach turns out to be effective based on a realistic transportation network, which is able to reduce the peak load of the power grid, help choose the correct EVCSs, and improve the economic profits.

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Apr 29th, 1:30 PM Apr 29th, 3:30 PM

Game-theoretic Electric Vehicles Charging Navigation

Union Wisconsin Room

With the increasing deployment of electric vehicles (EVs), electric vehicle charging stations (EVCSs) are becoming an indispensable public charging infrastructure. As a result, the power system needs to sustain additional stress from the charging loads of EVs, and meanwhile the traffic condition is influenced by the locations of charging stations. This study proposes an integrated charging navigation framework for electric transportation consisting of EVs and EVCSs. Its design accounts for the impacts from both the transportation system and power system. In this research, based on the traffic flow model the decisions of EV drivers are influenced by multiple factors, including the state of charge of EVs, the charging price, the distance to the charging station, and the queueing time. Here a hierarchical game approach is proposed to optimize the strategies of both EVs and EVCSs. At the upper level of the hierarchical game, the competition between EVCSs can be modeled by a non-cooperative game, where the pricing strategies are also considered. For the lower level, evolutionary game strategies are used to enable the EV users to choose EVCSs judiciously. By performing simulation studies, the hierarchical game approach turns out to be effective based on a realistic transportation network, which is able to reduce the peak load of the power grid, help choose the correct EVCSs, and improve the economic profits.