Journal of Shanghai Jiao Tong University ›› 2024, Vol. 58 ›› Issue (9): 1443-1453.doi: 10.16183/j.cnki.jsjtu.2023.052

• New Type Power System and the Integrated Energy • Previous Articles     Next Articles

Coordinate Scheduling Model of Electric Vehicle-Unmanned Aerial Vehicle Joint Rescue System

BAI Wenchao1, BAN Mingfei1(), SONG Meng2, XIA Shiwei3, LI Zhiyi4, SONG Wenlong1   

  1. 1. College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China
    2. School of Electrical Engineering, Southeast University, Nanjing 210096, China
    3. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
    4. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
  • Received:2023-02-17 Revised:2023-03-24 Accepted:2023-04-13 Online:2024-09-28 Published:2024-10-11

Abstract:

The rapid development of electric vehicles (EVs) and unmanned aerial vehicles (UAVs) provides new ways for personnel search and material distribution during emergency periods. This paper proposes an EV-UAV joint rescue system, in which the UAVs use the EVs as charging and maintenance base stations to provide various services for the objects to be rescued, and the EVs can use distributed generations to obtain diversified electricity supply, which improves the adaptability and endurance level of the system in emergencies. The coordinated scheduling model of the EV-UAV system is established in the mixed-integer linear programming (MILP) formulation, which considers factors including electricity consumption, electricity replenishment, loading capacity, distribution route, and distribution time window of the EVs and the UAVs. Case studies verify the validity of the model proposed, compare the EV-UAV and ground vehicle (GV)-UAV rescue systems, and illustrate the technical characteristics and application potential of the EV-UAV system in emergency assistance.

Key words: electric vehicle (EV), unmanned aerial vehicle (UAV), distributed generation, vehicle routing problem, emergency rescue, mixed-integer linear programming (MILP)

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