Stochastic charging coordination method for electric vehicle (EV) aggregator considering uncertainty in EV departures

Youngwook Kim, Seongbae Kong, Sung-Kwan Joo

Research output: Contribution to journalArticle

Abstract

This paper presents a stochastic method for an electric vehicle (EV) aggregator to coordinate EV charging schedule considering uncertainty in EV departures. The EV aggregator is responsible for managing the charging schedule of EVs while participating in the electricity markets. The managed EV charging can provide additional revenues to the aggregator from regulation market participation and charging cost reductions to EV owners. The aggregator needs to coordinate the charging schedule considering various uncertain factors such as electricity market prices and the stochastic characteristics of EVs. In this paper, the EV charging scheduling problem incorporating uncertainty in EV departures is formulated as a stochastic optimization problem. A stochastic optimization method is used to solve the EV charging scheduling problem. Latin hypercube sampling (LHS) and a scenario-reduction method are also applied to reduce the computational efforts of the proposed method. The results of a numerical example are presented to show the effectiveness of the proposed stochastic EV charging coordination method.

Original languageEnglish
Pages (from-to)1049-1056
Number of pages8
JournalJournal of Electrical Engineering and Technology
Volume11
Issue number5
DOIs
Publication statusPublished - 2016 Sep 1

Fingerprint

Electric vehicles
Scheduling
Uncertainty
Cost reduction
Sampling

Keywords

  • Electrical vehicle
  • EV aggregator
  • Regulation
  • Stochastic EV departure

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Stochastic charging coordination method for electric vehicle (EV) aggregator considering uncertainty in EV departures. / Kim, Youngwook; Kong, Seongbae; Joo, Sung-Kwan.

In: Journal of Electrical Engineering and Technology, Vol. 11, No. 5, 01.09.2016, p. 1049-1056.

Research output: Contribution to journalArticle

@article{9f4a7198a6ba42d7a3d3fb861887a8fe,
title = "Stochastic charging coordination method for electric vehicle (EV) aggregator considering uncertainty in EV departures",
abstract = "This paper presents a stochastic method for an electric vehicle (EV) aggregator to coordinate EV charging schedule considering uncertainty in EV departures. The EV aggregator is responsible for managing the charging schedule of EVs while participating in the electricity markets. The managed EV charging can provide additional revenues to the aggregator from regulation market participation and charging cost reductions to EV owners. The aggregator needs to coordinate the charging schedule considering various uncertain factors such as electricity market prices and the stochastic characteristics of EVs. In this paper, the EV charging scheduling problem incorporating uncertainty in EV departures is formulated as a stochastic optimization problem. A stochastic optimization method is used to solve the EV charging scheduling problem. Latin hypercube sampling (LHS) and a scenario-reduction method are also applied to reduce the computational efforts of the proposed method. The results of a numerical example are presented to show the effectiveness of the proposed stochastic EV charging coordination method.",
keywords = "Electrical vehicle, EV aggregator, Regulation, Stochastic EV departure",
author = "Youngwook Kim and Seongbae Kong and Sung-Kwan Joo",
year = "2016",
month = "9",
day = "1",
doi = "10.5370/JEET.2016.11.5.1049",
language = "English",
volume = "11",
pages = "1049--1056",
journal = "Journal of Electrical Engineering and Technology",
issn = "1975-0102",
publisher = "Korean Institute of Electrical Engineers",
number = "5",

}

TY - JOUR

T1 - Stochastic charging coordination method for electric vehicle (EV) aggregator considering uncertainty in EV departures

AU - Kim, Youngwook

AU - Kong, Seongbae

AU - Joo, Sung-Kwan

PY - 2016/9/1

Y1 - 2016/9/1

N2 - This paper presents a stochastic method for an electric vehicle (EV) aggregator to coordinate EV charging schedule considering uncertainty in EV departures. The EV aggregator is responsible for managing the charging schedule of EVs while participating in the electricity markets. The managed EV charging can provide additional revenues to the aggregator from regulation market participation and charging cost reductions to EV owners. The aggregator needs to coordinate the charging schedule considering various uncertain factors such as electricity market prices and the stochastic characteristics of EVs. In this paper, the EV charging scheduling problem incorporating uncertainty in EV departures is formulated as a stochastic optimization problem. A stochastic optimization method is used to solve the EV charging scheduling problem. Latin hypercube sampling (LHS) and a scenario-reduction method are also applied to reduce the computational efforts of the proposed method. The results of a numerical example are presented to show the effectiveness of the proposed stochastic EV charging coordination method.

AB - This paper presents a stochastic method for an electric vehicle (EV) aggregator to coordinate EV charging schedule considering uncertainty in EV departures. The EV aggregator is responsible for managing the charging schedule of EVs while participating in the electricity markets. The managed EV charging can provide additional revenues to the aggregator from regulation market participation and charging cost reductions to EV owners. The aggregator needs to coordinate the charging schedule considering various uncertain factors such as electricity market prices and the stochastic characteristics of EVs. In this paper, the EV charging scheduling problem incorporating uncertainty in EV departures is formulated as a stochastic optimization problem. A stochastic optimization method is used to solve the EV charging scheduling problem. Latin hypercube sampling (LHS) and a scenario-reduction method are also applied to reduce the computational efforts of the proposed method. The results of a numerical example are presented to show the effectiveness of the proposed stochastic EV charging coordination method.

KW - Electrical vehicle

KW - EV aggregator

KW - Regulation

KW - Stochastic EV departure

UR - http://www.scopus.com/inward/record.url?scp=84983371691&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84983371691&partnerID=8YFLogxK

U2 - 10.5370/JEET.2016.11.5.1049

DO - 10.5370/JEET.2016.11.5.1049

M3 - Article

VL - 11

SP - 1049

EP - 1056

JO - Journal of Electrical Engineering and Technology

JF - Journal of Electrical Engineering and Technology

SN - 1975-0102

IS - 5

ER -