Stochastic analysis on the energy constraint of V2G frequency regulation

Sekyung Han, Soo Hee Han, Kaoru Sezaki

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

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.

Original languageEnglish
Title of host publication2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010
DOIs
StatePublished - 2010
Event2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010 - Lille, France
Duration: 1 Sep 20103 Sep 2010

Publication series

Name2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010

Conference

Conference2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010
Country/TerritoryFrance
CityLille
Period1/09/103/09/10

Keywords

  • Battery
  • Component
  • Optimal control
  • Regulation
  • Smart grid
  • V2G

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