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 language | English |
|---|---|
| Pages (from-to) | 1049-1056 |
| Number of pages | 8 |
| Journal | Journal of Electrical Engineering and Technology |
| Volume | 11 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2016 Sep 1 |
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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 journal › Article
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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
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U2 - 10.5370/JEET.2016.11.5.1049
DO - 10.5370/JEET.2016.11.5.1049
M3 - Article
AN - SCOPUS:84983371691
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 -