Abstract | ||
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Fast charging stations are critical infrastructures to enable high penetration of plug-in electric vehicles (PEVs) into future distribution networks. They need to be carefully planned to meet charging demand as well as ensure economic benefits. Accurate estimation of PEV charging demand is the prerequisite of such planning, but a nontrivial task. This paper addresses the sizing (number of chargers... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TSG.2018.2860783 | IEEE Transactions on Smart Grid |
Keywords | Field | DocType |
Charging stations,Planning,Space stations,Markov processes,Batteries,Space charge,Queueing analysis | Travel behavior,Fast charging,Mathematical optimization,Markov process,Markov chain,Control engineering,Queueing theory,Operator (computer programming),Sizing,Engineering,Profit (economics) | Journal |
Volume | Issue | ISSN |
10 | 4 | 1949-3053 |
Citations | PageRank | References |
2 | 0.44 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qiang Yang | 1 | 25 | 10.46 |
Siyang Sun | 2 | 2 | 0.78 |
Shuiguang Deng | 3 | 1072 | 83.66 |
Qinglin Zhao | 4 | 158 | 26.30 |
MengChu Zhou | 5 | 8989 | 534.94 |