Name
Abstract | ||
|---|---|---|
In a vehicle-to-grid (V2G) system, electric vehicles (EVs) can be efficiently used as power consumers and suppliers to achieve microgrid (MG) autonomy. Since EVs can act as energy transporters among different regions (i.e., MGs), it is an important issue to decide where and when EVs are charged or discharged to achieve the optimal performance in a V2G system. In this paper, we propose a mobility-a... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TITS.2018.2816935 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Vehicle-to-grid,Mathematical model,State of charge,Microgrids,Markov processes,Batteries | Control algorithm,Mathematical optimization,Markov process,Simulation,Markov decision process,Schedule,Engineering,Microgrid,Vehicle-to-grid,State of charge,Reinforcement learning | Journal |
Volume | Issue | ISSN |
19 | 7 | 1524-9050 |
Citations | PageRank | References |
5 | 0.41 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haneul Ko | 1 | 73 | 17.42 |
| Sangheon Pack | 2 | 913 | 117.20 |
| Victor C. M. Leung | 3 | 9717 | 759.02 |