Optimal pricing and fleet management for shared electric vehicle in coupled power and transport networks

This paper considers a group of shared electric vehicles (SEV) that provide transport and energy services through a ride-sourcing platform. Under the novel business model, the transport and power networks are coupled and the resulting market equilibrium depends on the pricing strategies of the distribution network operator (DNO) and the SEV platform operator. To capture the interaction between the DNO and the SEV platform operator, the authors develop two market competition models, including (a) a Stackelberg competition model where the DNO makes the decision first and the SEV operator reacts accordingly, and (b) a Nash competition model where the DNO and the SEV operator make decisions simultaneously. The strategic interactions of the DNO and the SEV platform operator are analyzed over a coupled transport and power network, which captures the routing and discharging behaviors of EV drivers, the matching process between passengers and drivers, and the corresponding traveler and power flows. The authors analytically prove that the supply and demand equilibrium between travelers and EV drivers over the transport network always exists. The authors also numerically validate that the equilibrium solution between the SEV operator and the DNO is stable and unique. By varying the transport demands, the authors show that the SEV platform operator, the DNO and EV drivers always benefit from the discharge business even though passengers may be slightly worse off. Surprisingly, the authors find that integrating the discharging service will have diverse impacts on the cruising traffic depending on the demand levels of the transport service: under low demand level, it will reduce the cruising traffic; under medium demand level, it will increase the cruising traffic; under high demand level, it has no impact on the cruising traffic.

Language

  • English

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  • Accession Number: 01849064
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 22 2022 9:35AM