LAPSE:2019.0806
Published Article
LAPSE:2019.0806
Bidding Strategy for Aggregators of Electric Vehicles in Day-Ahead Electricity Markets
Yunpeng Guo, Weijia Liu, Fushuan Wen, Abdus Salam, Jianwei Mao, Liang Li
July 26, 2019
To make full use of the flexible charging and discharging capabilities of the growing number of electric vehicles (EVs), a bidding strategy for EV aggregators to participate in a day-ahead electricity energy market is proposed in this work. The proposed bidding strategy is able to reduce the operating cost of the EV aggregators and to handle the uncertainties of day-ahead market prices properly at the same time. Agreements between the EV owners and the aggregators are discussed, and a hierarchical market structure is proposed. While assuming the aggregators as economic rational entities, the bidding strategy is established based on the market prices, extra battery charging/discharging costs and the expected profits. The bidding clearing system will display the current/temporal market clearance results of the day-ahead market before the final clearance, and hence the market participants can revise their bids and mitigate the risks, to some extent, of forecasted market price forecast errors. Numerical results with a modified IEEE 30-bus system have demonstrated the feasibility and effectiveness of the proposed strategy.
Keywords
bidding strategy, economic dispatch, electric vehicle (EV), electric vehicle aggregator, electricity market
Suggested Citation
Guo Y, Liu W, Wen F, Salam A, Mao J, Li L. Bidding Strategy for Aggregators of Electric Vehicles in Day-Ahead Electricity Markets. (2019). LAPSE:2019.0806
Author Affiliations
Guo Y: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Liu W: School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Wen F: Department of Electrical and Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei [ORCID]
Salam A: Department of Electrical and Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei [ORCID]
Mao J: Division of Electric Vehicle Service, State Grid Zhejiang Electric Power Company, Hangzhou 310007, China
Li L: Division of Electric Vehicle Service, State Grid Zhejiang Electric Power Company, Hangzhou 310007, China
[Login] to see author email addresses.
Journal Name
Energies
Volume
10
Issue
1
Article Number
E144
Year
2017
Publication Date
2017-01-23
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en10010144, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2019.0806
This Record
External Link

doi:10.3390/en10010144
Publisher Version
Download
Files
[Download 1v1.pdf] (10.4 MB)
Jul 26, 2019
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
529
Version History
[v1] (Original Submission)
Jul 26, 2019
 
Verified by curator on
Jul 26, 2019
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2019.0806
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version