Title :
Quantitative modeling of an energy constraint regarding V2G aggregator for frequency regulation
Author :
Han, Sekyung ; Jang, Soohyeong ; Sezaki, Kaoru ; Han, Soohee
Author_Institution :
Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan
Abstract :
V2G frequency regulation requires an aggregator to perform the optimal control. This paper estimates the probability of successful regulation with respect to state-of-charge (SOC). A stochastic analysis is performed to represent the relative value of energy capacity along with the battery size. Weight functions for each of regulation up and down are developed respectively enabling the aggregator to reflect the energy constraint.
Keywords :
Batteries; Frequency control; Hybrid electric vehicles; Industrial control; Medical services; Optimal control; Performance analysis; Smart grids; State estimation; Stochastic processes; Battery; Optimal Control; Regulation; Smart Grid; V2G; component;
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2010 9th International Conference on
Conference_Location :
Prague, Czech Republic
Print_ISBN :
978-1-4244-5370-2
Electronic_ISBN :
978-1-4244-5371-9
DOI :
10.1109/EEEIC.2010.5489962
