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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dong, Q. Niyato, D. Wang, P. Han, Z. |
| Copyright Year | 1967 |
| Description | We propose a battery replacement strategy to increase the efficiency of chargers and save drivers' time at charging stations for plug-in hybrid electric vehicles (PHEVs). With the battery replacement strategy, we optimize the scheduling for the operations of chargers in a charging station. The scheduling objectives are to minimize the power consumption cost and to allow as many PHEVs to be served as possible. In addition, we quantitatively analyze the impact of imperfect data communication on the scheduling performance. Furthermore, we formulate and solve a multistage stochastic programming model to minimize the power supply cost for the benefit of the grid operator. Renewable source generation and utilization of energy storage devices are integrated into the supply optimization problem. |
| Sponsorship | IEEE Vehicular Technology Society |
| Starting Page | 566 |
| Ending Page | 580 |
| Page Count | 15 |
| File Size | 1323897 |
| File Format | |
| ISSN | 00189545 |
| Volume Number | 65 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2016-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Batteries Charging stations Power demand Real-time systems Optimal scheduling power supply optimization PHEV charging |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering |
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