Robust planning of dynamic wireless charging infrastructure for battery electric buses [electronic resource]

• Ngôn ngữ: eng
• Ký hiệu phân loại: 333.79 Energy
• Thông tin xuất bản: Washington, D.C. : Oak Ridge, Tenn. : United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2017
• Mô tả vật lý: Size: p. 77-103 : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 265846
• Chủ đề: 1. 25 energy storage; 2. 29 energy planning, policy, and economy; 3. 32 energy conservation, consumption, and utilization; 4. 33 advanced propulsion systems; 5. Battery electric bus

Tóm tắt

 Battery electric buses with zero tailpipe emissions have great potential in improving environmental sustainability and livability of urban areas. However, the problems of high cost and limited range associated with on-board batteries have substantially limited the popularity of battery electric buses. The technology of dynamic wireless power transfer (DWPT), which provides bus operators with the ability to charge buses while in motion, may be able to effectively alleviate the drawbacks of electric buses. In this paper, we address the problem of simultaneously selecting the optimal location of the DWPT facilities and designing the optimal battery sizes of electric buses for a DWPT electric bus system. The problem is first constructed as a deterministic model in which the uncertainty of energy consumption and travel time of electric buses is neglected. The methodology of robust optimization (RO) is then adopted to address the uncertainty of energy consumption and travel time. The affinely adjustable robust counterpart (AARC) of the deterministic model is developed, and its equivalent tractable mathematical programming is derived. Both the deterministic model and the robust model are demonstrated with a real-world bus system. The results of our study demonstrate that the proposed deterministic model can effectively determine the allocation of DWPT facilities and the battery sizes of electric buses for a DWPT electric bus system
  and the robust model can further provide optimal designs that are robust against the uncertainty of energy consumption and travel time for electric buses.