Quantitative modeling of an energy constraint regarding V2G aggregator for frequency regulation

Sekyung Han; Soohyeong Jang; Kaoru Sezaki; Soohee Han

doi:10.1109/EEEIC.2010.5489962

Quantitative modeling of an energy constraint regarding V2G aggregator for frequency regulation

Sekyung Han
, Soohyeong Jang
, Kaoru Sezaki
, Soohee Han

Department of Electrical Engineering

The University of Tokyo
Konkuk University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Scopus citations

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.

Original language	English
Title of host publication	2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010
Pages	114-116
Number of pages	3
DOIs	https://doi.org/10.1109/EEEIC.2010.5489962
State	Published - 2010
Event	2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010 - Prague, Czech Republic Duration: 16 May 2010 → 19 May 2010

Publication series

Name	2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010

Conference

Conference	2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010
Country/Territory	Czech Republic
City	Prague
Period	16/05/10 → 19/05/10

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

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10.1109/EEEIC.2010.5489962

Cite this

Han, S., Jang, S., Sezaki, K., & Han, S. (2010). Quantitative modeling of an energy constraint regarding V2G aggregator for frequency regulation. In 2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010 (pp. 114-116). Article 5489962 (2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010). https://doi.org/10.1109/EEEIC.2010.5489962

@inproceedings{89dbce540df84eb2a91b26a20d8f2968,

title = "Quantitative modeling of an energy constraint regarding V2G aggregator for frequency regulation",

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

author = "Sekyung Han and Soohyeong Jang and Kaoru Sezaki and Soohee Han",

year = "2010",

doi = "10.1109/EEEIC.2010.5489962",

language = "English",

isbn = "9781424453719",

series = "2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010",

pages = "114--116",

booktitle = "2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010",

note = "2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010 ; Conference date: 16-05-2010 Through 19-05-2010",

}

Han, S, Jang, S, Sezaki, K & Han, S 2010, Quantitative modeling of an energy constraint regarding V2G aggregator for frequency regulation. in 2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010., 5489962, 2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010, pp. 114-116, 2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010, Prague, Czech Republic, 16/05/10. https://doi.org/10.1109/EEEIC.2010.5489962

Quantitative modeling of an energy constraint regarding V2G aggregator for frequency regulation. / Han, Sekyung; Jang, Soohyeong; Sezaki, Kaoru et al.
2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010. 2010. p. 114-116 5489962 (2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Quantitative modeling of an energy constraint regarding V2G aggregator for frequency regulation

AU - Han, Sekyung

AU - Jang, Soohyeong

AU - Sezaki, Kaoru

AU - Han, Soohee

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Battery

KW - Component

KW - Optimal control

KW - Regulation

KW - Smart grid

KW - V2G

UR - https://www.scopus.com/pages/publications/77955200785

U2 - 10.1109/EEEIC.2010.5489962

DO - 10.1109/EEEIC.2010.5489962

M3 - Conference contribution

AN - SCOPUS:77955200785

SN - 9781424453719

T3 - 2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010

SP - 114

EP - 116

BT - 2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010

T2 - 2010 9th Conference on Environment and Electrical Engineering, EEEIC 2010

Y2 - 16 May 2010 through 19 May 2010

ER -

Quantitative modeling of an energy constraint regarding V2G aggregator for frequency regulation

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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