research-article

Impact Evaluation of Compensation Price on Electric Vehicle Charging Load Distribution

Authors:

Wei Rao,

Qian JiangAuthors Info & Claims

ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems

Article No.: 329, Pages 1 - 6

https://doi.org/10.1145/3469213.3471360

Published: 18 August 2021 Publication History

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Abstract

To fully explore the response-ability of Electric Vehicle (EV) aggregators, the impact of the compensation price on the EV charging load distribution is evaluated. Firstly, considering EV traffic behavior characteristics, an electric vehicle model is constructed. Then, an EV charging and discharging behavior optimization model is proposed, which takes charge compensation price into account. Finally, the influence of user type proportions and different compensation prices on the charging load distribution of is analyzed. The simulation results show that the EV charging load distribution of is greatly influenced by the compensation price. By setting the appropriate compensation price, the response-ability of EV aggregators can be fully exploited. The model can make full use of the EV charging load flexibility’ and provide a key model for the coordination planning of the distribution network to decrease the planning and operation cost.

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Wu BZhang JZhang ZZu GZheng Z(2024)Community DC Coordinated Charging Strategy Based on Dual Margins of Time and Energy2024 4th International Conference on New Energy and Power Engineering (ICNEPE)10.1109/ICNEPE64067.2024.10860697(1121-1126)Online publication date: 8-Nov-2024
https://doi.org/10.1109/ICNEPE64067.2024.10860697
Qian LChen JMa YWu SLu X(2024)A Control Strategy for Electric Vehicle Aggregation based on Response Time and State of Charge Margin2024 4th International Conference on New Energy and Power Engineering (ICNEPE)10.1109/ICNEPE64067.2024.10860591(1268-1273)Online publication date: 8-Nov-2024
https://doi.org/10.1109/ICNEPE64067.2024.10860591

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ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems

May 2021

2053 pages

ISBN:9781450390200

DOI:10.1145/3469213

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 18 August 2021

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ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems

May 28 - 30, 2021

Chongqing, China

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Wu BZhang JZhang ZZu GZheng Z(2024)Community DC Coordinated Charging Strategy Based on Dual Margins of Time and Energy2024 4th International Conference on New Energy and Power Engineering (ICNEPE)10.1109/ICNEPE64067.2024.10860697(1121-1126)Online publication date: 8-Nov-2024
https://doi.org/10.1109/ICNEPE64067.2024.10860697
Qian LChen JMa YWu SLu X(2024)A Control Strategy for Electric Vehicle Aggregation based on Response Time and State of Charge Margin2024 4th International Conference on New Energy and Power Engineering (ICNEPE)10.1109/ICNEPE64067.2024.10860591(1268-1273)Online publication date: 8-Nov-2024
https://doi.org/10.1109/ICNEPE64067.2024.10860591

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Recommendations

Electric vehicle charging by use of renewable energy technologies: A comprehensive and updated review

Vehicle-to-grid communication system for electric vehicle charging

A Decision Function Based Smart Charging and Discharging Strategy for Electric Vehicle in Smart Grid

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