Economic Microgrid Planning Algorithm with Electric Vehicle Charging Demands
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چکیده
منابع مشابه
Economic Microgrid Planning Algorithm with Electric Vehicle Charging Demands
Two of the most important technologies for future power systems to reduce greenhouse gas are electric vehicles (EVs) and renewable generation. When EVs become more common, the overall demand of electricity will significantly increase because EVs consume a large amount of electricity. Also, a daily load curve with EVs heavily depends on how much electricity EVs consume and when electricity is co...
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Jinyang Li∗, Xiaoshan Sun∗, Qi Liu∗, Wei Zheng†, Hengchang Liu∗ and John Stankovic‡ ∗School of Computer Science and Technology University of Science and Technology of China, Anhui, China Email: {ljyustc, sxs1166, liuqi100}@mail.ustc.edu.cn, [email protected] †Comprehend (Suzhou) Information Technology Inc. Suzhou, Jiangsu Email: [email protected] ‡Department of Computer Science University o...
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With an electrified passenger transportation fleet, carbon dioxide emissions could be reduced significantly depending on the electric power production mix. Increased electric power consumption due to electric vehicle charging demands of electric vehicle fleets may be met by increased amount of renewable power production in the electrical systems. With electric vehicle fleets in the transportati...
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Motivated by the increasing popularity of electric vehicles (EV) and a lack of charging stations in the road network, we study the shortest path hitting set (SPHS) problem. Roughly speaking, given an input graph G, the goal is to compute a small-size subset H of vertices of G such that by placing charging stations at vertices in H, every shortest path in G becomes EV-feasible, i.e., an EV can t...
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ژورنال
عنوان ژورنال: Energies
سال: 2017
ISSN: 1996-1073
DOI: 10.3390/en10101487