NDLI: Day-ahead electric vehicle aggregator bidding strategy using stochastic programming in an uncertain reserve market

Content Provider	IET Digital Library
Author	Han, Bing Lu, Shaofeng Xue, Fei Jiang, Lin
Abstract	Electric vehicle (EV) as dynamic energy storage systems could provide ancillary services to the grids. The aggregator could coordinate the charging/discharging of EV fleets to attend the electricity market to get profits. However, the aggregator profits are threatened by the uncertainty of the electricity market. In this study, an EV aggregator bidding strategy in the day-ahead market (DAM) is proposed, both reserve capacity and reserve deployment are considered. The novelty of this study is that: (i) The uncertainty of the reserve developments is addressed in terms of both time and amount. (ii) Scenario-based stochastic programming method is used to maximise the average aggregator profits based on one-year data. The proposed method, jointly considers the reserve capacity in the DAM and the reserve deployment requirements in the real-time market (RTM). (iii) The risk of the deployed reserve shortage is addressed by introducing a penalty factor in the model. (iv) An owner-aggregator contract is designed, which is used to mitigate the economic inconsistency issue between the EV owners and the aggregator. Results verify the performance of the proposed strategy, that is the average aggregator profits are guaranteed by maximising reserve deployment payments and mitigating the penalties in RTM and thus the reserve deployment requirements uncertainty is well managed.
Starting Page	2517
Ending Page	2525
Page Count	9
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 12, Jun (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.6951
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-04-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Ancillary Services Average Aggregator Profits Bidding Strategy Charging/discharging DAM Day-ahead Electric Vehicle Aggregator Day-ahead Market Deployed Reserve Shortage Dynamic Energy Storage System Electric Vehicle Electricity Market Energy Storage EV Aggregator EV Owners Optimisation Technique Owner-aggregator Contract Power Market Power System Economics Power System Managemen Power System Operation Real-time Market Reserve Capacity Reserve Deployment Payments Reserve Deployment Requirements Uncertainty Reserve Developments Scenario-based Stochastic Programming Method Stochastic Programming Transportation Uncertain Reserve Market
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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