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Dynamic operations and pricing of electric unmanned aerial vehicle systems and power networks

机译:电动无人机系统和电网的动态运行和定价

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摘要

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 spatiotemporal 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.
机译:电动无人飞行器(E-UAV)技术的出现,尽管有些过时,但预计会给系统操作带来与电动汽车(EV)类似的挑战。值得注意的是,在充电站途中对电动汽车进行充电已被认为是电力系统的一种重要类型的灵活负载,这通常会对电力系统运营商的电价决策产生不可忽视的影响。同时,基于充电时间和价格的充电成本是用户出行成本的一部分,这可能会影响E-UAV交通到充电站的时空分配。本文旨在研究在中央控制且动态的环境下,即随时间变化的旅行需求和电力系统基本负荷,与E-UAV的航路充电相关联的电力和电动航空运输系统的联合操作。动态E-UAV充电分配用作平滑电力系统负载的工具。提出了一种联合定价方案,并提出了成本最小化问题以实现这种耦合系统的系统最优性。进行了数值实验,以测试提议的定价方案并证明联合运营框架的好处。

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