Spatio-temporal Flexibility Evaluation of Electric Taxi Fleets Using Taxi Travel Data in Beijing
ID:108 View Protection:PRIVATE Updated Time:2023-12-02 15:44:26 Hits:1028 Oral Presentation

Start Time:2023-12-09 10:45(Asia/Shanghai)

Duration:15min

Session:S4 Power system and automation » S4Power system and automation

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Abstract
With the increase in the penetration rate of electric vehicles, electric taxis in cities can play their inherent flexibility by discharging to support the operation of the power grid. Based on the real travel trajectory records of fuel taxis in Beijing, this paper proposes a state-based evaluation method for the spatiotemporal distribution of flexibility of electric taxi fleet. Firstly, the state transition relationship between electric taxis including four main states and seven transitional states is analyzed, and the number of flexible taxis at each time point is calculated. Considering the state transition relationship and users’ mileage anxiety, an optimization model for evaluating the flexibility of taxi fleet is established. By solving the model, the upper and lower bounds of the battery energy range of the flexible taxis are obtained. The case studies analyze the flexibility of taxi fleet in different areas of Beijing based on real data, and indicates that there is promising potential for cross-regional scheduling of taxis to reallocate flexibility in order to participate in demand response.
Keywords
electric vehicle,vehicle to grid,flexibility evaluation,state transition relationship,taxi travel record
Speaker
Xiaoyu Duan
Assistant Researcher Tsinghua University

Submission Author
Xiaocheng Gu State Grid International Development Co., Ltd
Xiaoyu Duan Tsinghua University
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Important Date
  • Conference Date

    Dec 08

    2023

    to

    Dec 10

    2023

  • Nov 01 2023

    Draft paper submission deadline

  • Dec 10 2023

    Registration deadline

Sponsored By
IEEE IAS
Organized By
Southwest Jiaotong University (SWJTU)