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Aggregator economic optimization based on three-stage dispathing of electric vehicles
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  • Yonggang LI,
  • Hui Lin,
  • Yichen Zhou,
  • Haoyang Zheng,
  • Yang Yang,
  • Xinghao Zhen,
  • Zhaoyuan Bian,
  • Ziyi Yue
Yonggang LI
North China Electric Power University - Baoding Campus

Corresponding Author:[email protected]

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Hui Lin
North China Electric Power University - Baoding Campus
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Yichen Zhou
North China Electric Power University
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Haoyang Zheng
North China Electric Power University - Baoding Campus
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Yang Yang
North China Electric Power University - Baoding Campus
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Xinghao Zhen
North China Electric Power University - Baoding Campus
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Zhaoyuan Bian
North China Electric Power University - Baoding Campus
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Ziyi Yue
North China Electric Power University - Baoding Campus
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Abstract

With the development of smart distribution network and the proposal of dual carbon target, the importance of demand side management in improving the flexible operation of power system is becoming more and more prominent. In order to solve the problems of excessive load peak valley difference, insufficient utilization of demand side resources, and unreasonable pricing of aggregators, this paper propose an economic optimization scheme for aggregators based on electric vehicle three-stage dispatching. First, the loss aversion analysis is conducted on the willingness of electric vehicle users to participate in dispatching. The contract signing methods between aggregators and electric vehicles are divided into three categories: complete dispatching, rolling reward and punishment mechanism dispatching, and free dispatching. Next, the response model of electric vehicle users based on the improved cloud model is obtained. Then, the aggregators conduct three-phase optimal dispatching for electric vehicles according to the bid winning peak shaving capacity. Phase 1 according to the time of regional differences, the dispatching of reward power set rewards and punishment mechanism, phase 2 to determine the full freedom dispatching of electric vehicles, three kinds of dispatching and dynamic load capacity of electricity, phase 3 according to the phase 1 and 2, the amount of information and user loss aversion, the user response model of final rolling rewards and punishment mechanism, get the aggregators final pricing schemes, Finally, a numerical example is given to verify the feasibility of the proposed method.
20 Oct 2022Submitted to IET Generation, Transmission & Distribution
25 Oct 2022Submission Checks Completed
25 Oct 2022Assigned to Editor
14 Feb 2023Reviewer(s) Assigned
14 Mar 2023Review(s) Completed, Editorial Evaluation Pending
15 Mar 2023Editorial Decision: Revise Major
26 Mar 20231st Revision Received
30 Mar 2023Submission Checks Completed
30 Mar 2023Assigned to Editor
04 Apr 2023Reviewer(s) Assigned
17 Apr 2023Review(s) Completed, Editorial Evaluation Pending
24 Apr 2023Editorial Decision: Revise Major
27 Apr 20232nd Revision Received
02 May 2023Submission Checks Completed
02 May 2023Assigned to Editor
09 May 2023Reviewer(s) Assigned
12 Jun 2023Review(s) Completed, Editorial Evaluation Pending
15 Jun 2023Editorial Decision: Revise Minor
17 Jun 20233rd Revision Received
20 Jun 2023Submission Checks Completed
20 Jun 2023Assigned to Editor
29 Jun 2023Reviewer(s) Assigned
20 Jul 2023Review(s) Completed, Editorial Evaluation Pending
22 Jul 2023Editorial Decision: Accept