Stochastic analysis on the energy constraint of V2G frequency regulation

Sekyung Han; Soo Hee Han; Kaoru Sezaki

doi:10.1109/VPPC.2010.5729157

Stochastic analysis on the energy constraint of V2G frequency regulation

Sekyung Han
, Soo Hee Han
, Kaoru Sezaki

Department of Electrical Engineering

Konkuk University
The University of Tokyo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010
DOIs	https://doi.org/10.1109/VPPC.2010.5729157
State	Published - 2010
Event	2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010 - Lille, France Duration: 1 Sep 2010 → 3 Sep 2010

Publication series

Name	2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010

Conference

Conference	2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010
Country/Territory	France
City	Lille
Period	1/09/10 → 3/09/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Battery
Component
Optimal control
Regulation
Smart grid
V2G

Access to Document

10.1109/VPPC.2010.5729157

Cite this

@inproceedings{522721fbe2b044e49753d1adcda62a17,

title = "Stochastic analysis on the energy constraint of V2G frequency regulation",

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, Component, Optimal control, Regulation, Smart grid, V2G",

author = "Sekyung Han and Han, \{Soo Hee\} and Kaoru Sezaki",

year = "2010",

doi = "10.1109/VPPC.2010.5729157",

language = "English",

isbn = "9781424482191",

series = "2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010",

booktitle = "2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010",

note = "2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010 ; Conference date: 01-09-2010 Through 03-09-2010",

}

Han, S, Han, SH & Sezaki, K 2010, Stochastic analysis on the energy constraint of V2G frequency regulation. in 2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010., 5729157, 2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010, 2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010, Lille, France, 1/09/10. https://doi.org/10.1109/VPPC.2010.5729157

TY - GEN

T1 - Stochastic analysis on the energy constraint of V2G frequency regulation

AU - Han, Sekyung

AU - Han, Soo Hee

AU - Sezaki, Kaoru

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Battery

KW - Component

KW - Optimal control

KW - Regulation

KW - Smart grid

KW - V2G

UR - https://www.scopus.com/pages/publications/79953143395

U2 - 10.1109/VPPC.2010.5729157

DO - 10.1109/VPPC.2010.5729157

M3 - Conference contribution

AN - SCOPUS:79953143395

SN - 9781424482191

T3 - 2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010

BT - 2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010

T2 - 2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010

Y2 - 1 September 2010 through 3 September 2010

ER -

Stochastic analysis on the energy constraint of V2G frequency regulation

Abstract

Publication series

Conference

UN SDGs

Keywords

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