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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wencong Su Mo-Yuen Chow |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Electrical and Computer Engineering North Carolina State University Raleigh, NC, USA (Wencong Su; Mo-Yuen Chow) |
| Abstract | The large penetration of Plug-in Hybrid Electric Vehicles (PHEVs) and Plug-in Electric Vehicles (PEVs) brings up many technical problems that needs to be addressed and reassured on. There is also a need for in-depth study on PHEVs in term of Smart Grid environment. In this paper, we introduced the existing testbed of a Large-scale PHEV charging infrastructure developed by FREEDM/ATEC center to achieve the optimal power allocation. Then we applied Monte Carlo method to simulate the myriad real-world scenarios at a municipal parking deck. Case studies were performed to analyze the system performance of intelligent charging algorithms for a large amount of PHEVs using Monte Carlo simulation. Accordingly, the simulation results characterized the optimization performance in terms of the optimal electricity consumption and the PHEV battery State-of-Charge at plug-out. |
| Starting Page | 1675 |
| Ending Page | 1680 |
| File Size | 935659 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457703645 |
| e-ISBN | 9781457703652 |
| DOI | 10.1109/DRPT.2011.5994167 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Monte Carlo methods System-on-a-chip Vehicles Input variables Availability Optimization Energy management Intelligent Energy Management PHEV Smart Grid Monte Carlo Method |
| Content Type | Text |
| Resource Type | Article |
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