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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sekyung Han Soo Hee Han Sezaki, K. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Electrical Engineering, Konkuk University, Seoul, Korea (Soo Hee Han) || Center of Spatial Information Science, The University of Tokyo, Japan (Sezaki, K.) || Institute of Industrial Science, The University of Tokyo, Japan (Sekyung Han) |
| Abstract | Energy constraint for V2G frequency regulation is illustrated in terms of state-of-charge (SOC) of the pertaining vehicle battery. Actual regulation signal is investigated, and energy deviation caused by a single regulation signal is obtained. With the derived energy deviation model, a probability distribution of successful regulation is estimated. Random walk theory is employed for stochastic analysis of the distribution. For the derived probability distribution, an approximation to the normal distribution is made to perform practical calculation on a digital computer. Estimated probability distribution is averaged over the unit contract time, usually an hour, to yield a weight function that represents the energy constraint. Finally, simulations are provided to with various parameters. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 519445 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424482207 |
| e-ISBN | 9781424482191 |
| DOI | 10.1109/VPPC.2010.5729157 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-01 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | System-on-a-chip Batteries Vehicles Probability distribution Frequency control Gaussian distribution Stochastic processes Smart Grid V2G Regulation Battery Optimal Control |
| Content Type | Text |
| Resource Type | Article |
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