TY - JOUR
T1 - Dynamic operations and pricing of electric unmanned aerial vehicle systems and power networks
AU - Zhang, Kaiqing
AU - Lu, Liqun
AU - Lei, Chao
AU - Zhu, Hao
AU - Ouyang, Yanfeng
N1 - Funding Information:
This study is financially supported in part by the Institute for Sustainability, Energy, and Environment (iSEE) at the University of Illinois . The authors are part of an inter-disciplinary group that is working on a project titled “Interdependent Critical Infrastructure Systems for Synergized Utilization of Multiple Energy Sources Toward Sustainable Vehicular Transportation.” Partial financial support was also provided by the National Science Foundation via Grant CMMI-1662825 . Very helpful comments from the three anonymous reviewers are also gratefully acknowledged.
Funding Information:
This study is financially supported in part by the Institute for Sustainability, Energy, and Environment (iSEE) at the University of Illinois. The authors are part of an inter-disciplinary group that is working on a project titled “Interdependent Critical Infrastructure Systems for Synergized Utilization of Multiple Energy Sources Toward Sustainable Vehicular Transportation.” Partial financial support was also provided by the National Science Foundation via Grant CMMI-1662825. Very helpful comments from the three anonymous reviewers are also gratefully acknowledged.
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/7
Y1 - 2018/7
N2 - The emergence of electric unmanned aerial vehicle (E-UAV) technologies, albeit somewhat futuristic, is anticipated to pose similar challenges to the system operation as those of electric vehicles (EVs). Notably, the charging of EVs en-route at charging stations has been recognized as a significant type of flexible load for power systems, which often imposes non-negligible impacts on the power system operator's decisions on electricity prices. Meanwhile, the charging cost based on charging time and price is part of the trip cost for the users, which can affect the spatio-temporal assignment of E-UAV traffic to charging stations. This paper aims at investigating joint operations of coupled power and electric aviation transportation systems that are associated with en-route charging of E-UAVs in a centrally controlled and yet dynamic setting, i.e., with time-varying travel demand and power system base load. Dynamic E-UAV charging assignment is used as a tool to smooth the power system load. A joint pricing scheme is proposed and a cost minimization problem is formulated to achieve system optimality for such coupled systems. Numerical experiments are performed to test the proposed pricing scheme and demonstrate the benefits of the framework for joint operations.
AB - The emergence of electric unmanned aerial vehicle (E-UAV) technologies, albeit somewhat futuristic, is anticipated to pose similar challenges to the system operation as those of electric vehicles (EVs). Notably, the charging of EVs en-route at charging stations has been recognized as a significant type of flexible load for power systems, which often imposes non-negligible impacts on the power system operator's decisions on electricity prices. Meanwhile, the charging cost based on charging time and price is part of the trip cost for the users, which can affect the spatio-temporal assignment of E-UAV traffic to charging stations. This paper aims at investigating joint operations of coupled power and electric aviation transportation systems that are associated with en-route charging of E-UAVs in a centrally controlled and yet dynamic setting, i.e., with time-varying travel demand and power system base load. Dynamic E-UAV charging assignment is used as a tool to smooth the power system load. A joint pricing scheme is proposed and a cost minimization problem is formulated to achieve system optimality for such coupled systems. Numerical experiments are performed to test the proposed pricing scheme and demonstrate the benefits of the framework for joint operations.
KW - Aviation transportation
KW - Demand response
KW - Electricity pricing
KW - Unmanned aerial vehicle
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U2 - 10.1016/j.trc.2018.05.011
DO - 10.1016/j.trc.2018.05.011
M3 - Article
AN - SCOPUS:85047646203
VL - 92
SP - 472
EP - 485
JO - Transportation Research Part C: Emerging Technologies
JF - Transportation Research Part C: Emerging Technologies
SN - 0968-090X
ER -