Sui, YuYi, PingLiu, XinZhu, Ting2019-10-182019-10-182019-07-02Qian Zhang, Yi Zhu, Zhong Wang, Yaojia Su, Chunyan Li, "Reliability Assessment of Distribution Network and Electric Vehicle Considering Quasi-Dynamic Traffic Flow and Vehicle-to-Grid", Access IEEE, vol. 7, pp. 131201-131213, 2019.https://doi.org/10.1109/ACCESS.2019.2926408http://hdl.handle.net/11603/15906Energy Internet allows energy to flow flexibly for transmission and it can transport energy to every energy user via electric vehicles (EVs). The energy that EVs use is produced from renewable energy sources like solar power. However, under bad weather conditions, the power station will stop energy generation and will need to get power transported from other places. One solution is to set up some stations, which usually store excess energy. In special times, the energy stored by these stations can be used to supply electricity to all parts of the city. In this process, the position of the station that provides power should be considered carefully for the sake of reducing energy loss during transportation. The main idea of this paper focuses on how to choose positions for the stations. We put forward the concept of energy transport station (ETS) which can store and output energy, then we propose three algorithms, namely exhausted algorithm, greedy algorithm, and segmentation algorithm, to decide where to place ETSs so that the energy loss can be minimized. The algorithms will be simulated with data of bus route maps of Manhattan and the Pioneer Valley Transit Authority (PVTA), which will show the contrast of each algorithm and find their best application scenarios10 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.Attribution 4.0 International (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/Energy internetelectric vehiclesenergy transmissionText