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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Han Peng Wang Jinkuan Han Yinghua |
| Copyright Year | 2012 |
| Description | Author affiliation: Northeastern University, School of Information Science and Engineering, Shenyang 066004, China (Han Peng; Wang Jinkuan; Han Yinghua) |
| Abstract | Massive and random charging activities by increasing penetration of the plug-in electric vehicles (PEVs) shall bring significant electricity impact in the smart grid. The real-time charging management with dynamic-priority scheduling is the key to satisfy various charging requirements and help utility optimize infrastructure utilization. The paper firstly introduces an access network structure, then proposed a submeter for real-time management, after that a three-process decomposition of the PEV charging activity using queuing theory is carried out. Based on the decomposition, the real-time management of each process is proposed. Furthermore, the paper designed a dynamic-priority scheduling based on the PEV slack time for satisfying various charging requirements, and these time-sensitive PEVs can be served firstly. Simulation results show the proposed charging management performs efficiently on reducing the grid peak load, improving the utility utilization, and enhancing the on-time percentage in mid and low penetrations. Study findings in this paper will help support informed decision-making regarding PEV development and deployment in the near future. |
| Starting Page | 2432 |
| Ending Page | 2436 |
| File Size | 391049 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467325813 |
| ISSN | 21612927 |
| e-ISBN | 9789881563811 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-07-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Chinese Assoc of Automati |
| Subject Keyword | smart grid Electricity Plug-in electric vehicle access network Dynamic scheduling Electric vehicles Real-time systems Smart grids dynamic scheduling Queueing analysis charging management |
| Content Type | Text |
| Resource Type | Article |
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