Electric Vehicle Ride-hailing Operation and Charging-discharging Dynamic Scheduling Strategy in Vehicle-to-grid Scenario
The centralized nature and flexibility of electric vehicle(EV)ride-hailing fleets offer opportunities for vehicles to provide emergency and demand-response services to the grid during peak load periods,when combined with Vehicle-to-Grid(V2G)technology.This study investigates the flexibility of EV ride-hailing fleets participating in V2G systems and aims to make dynamic decisions on vehicle-trip assignment,empty vehicle relocation,and charging/discharging schedules.First,a time-space-energy three-dimensional network is constructed to depict the vehicle scheduling problem.Then,the rolling horizon optimization model is used to maximize the expected benefits of the fleet.Additionally,the dynamic scheduling decisions of the fleet are obtained by defining feasible arcs.A case study is conducted in Jiading,Shanghai.The results indicate that the proposed strategy for EV ride-hailing fleets can effectively respond to travel requests,balance future travel demand and supply through empty vehicle relocation,and dispatch idle vehicles for discharging.During periods of grid demand response,10.3%of idle vehicles can be dispatched for discharging,with an average revenue of 104.8 yuan per hour per vehicle.The proposed method helps reduce vehicle idle rates,increase vehicle revenue,and address the issue of the gradually saturated transportation service market.
urban trafficelectric vehicle ride-hailingtime-space-energy networkcharging and dischargingrolling horizon
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