DocumentCode :
2728569
Title :
Stochastic analysis on the energy constraint of V2G frequency regulation
Author :
Han, Sekyung ; Han, Soo Hee ; Sezaki, Kaoru
Author_Institution :
Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan
fYear :
2010
fDate :
1-3 Sept. 2010
Firstpage :
1
Lastpage :
4
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.
Keywords :
battery powered vehicles; frequency control; power grids; power system control; probability; stochastic processes; V2G frequency regulation; energy constraint; optimal control; probability distribution; random walk theory; state-of-charge; stochastic analysis; vehicle battery; vehicle-to-grid frequency regulation; Batteries; Frequency control; Gaussian distribution; Probability distribution; Stochastic processes; System-on-a-chip; Vehicles; Battery; Optimal Control; Regulation; Smart Grid; V2G;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicle Power and Propulsion Conference (VPPC), 2010 IEEE
Conference_Location :
Lille
Print_ISBN :
978-1-4244-8220-7
Type :
conf
DOI :
10.1109/VPPC.2010.5729157
Filename :
5729157
Link To Document :
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