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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Clemmer, T. Hang Xu Dougal, R. Mantooth, H.A. |
| Copyright Year | 2013 |
| Description | Author affiliation: Grid Connected Adv. Power Electron. Syst. (GRAPES), Univ. of Arkansas, Fayetteville, AR, USA (Clemmer, T.; Hang Xu; Dougal, R.; Mantooth, H.A.) |
| Abstract | This paper introduces the concept, development, and evaluation of the next generation in demand side energy management. An integrated hardware/software 2 kW prototype has been designed, built, and currently undergoing testing. The Smart Green Power Node (SGPN) features a modular architecture such that it can be customized for user-specific applications. Additionally, the SGPN incorporates necessary data such as weather for projected PV generation, user input, hardware status and load profile information, as well as a TOU pricing schedule as inputs to a novel system control algorithm. Compared to commercial energy management systems that exist, this system effectively eliminates the need for human interaction by processing the described data and intelligently controlling the charging/discharging of onsite resources in conjunction with the electric grid to yield economic savings for the home owner as well as the utility. |
| Sponsorship | IEEE Power Electron. Soc. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 3754485 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479906925 |
| DOI | 10.1109/PEDG.2013.6785585 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Schedules Heuristic algorithms Hardware Batteries Level control Energy management Optimization |
| Content Type | Text |
| Resource Type | Article |
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