Many-objective optimization for large-scale EVs charging and discharging schedules considering travel convenience-Reference-Cited by-同舟云学术

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Many-objective optimization for large-scale EVs charging and discharging schedules considering travel convenience

Published:2021-06-17 Issue: Volume: Page:
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Pan Xiaotian,Wang Liping^ORCID,Qiu Qicang,Qiu Feiyue,Zhang Guodao

Funder

Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China

Key project of Science and Technology Development Plan of Zhejiang

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-021-02494-0.pdf

Reference46 articles.

1. Toquica D, Jesus PMDOD, Cadena AI (2020) Power market equilibrium considering an ev storage aggregator exposed to marginal prices - a bilevel optimization approach. J Energy Storage 28:101267. https://doi.org/10.1016/j.est.2020.101267

2. Mehrjerdi H, Rakhshani E (2019) Vehicle-to-grid technology for cost reduction and uncertainty management integrated with solar power. J Clean Prod 229:463–469. https://doi.org/10.1016/j.jclepro.2019.05.023

3. Liu M, Crisostomi E, Gu Y, Shorten R (2015) Optimal distributed consensus algorithm for fair v2g power dispatch in a microgrid. In: 2014 IEEE international electric vehicle conference, IEVC 2014, pp 1–7. https://doi.org/10.1109/IEVC.2014.7056085

4. Wang B, Hu Y, Zeng F (2017) A user cost and convenience oriented ev charging and discharging scheduling algorithm in v2g based microgrid. In: International conference on circuits devices and systems, pp 156–162. https://doi.org/10.1109/ICCDS.2017.8120470

5. Liu J, Li P, Zhong W, Wang L, An Y, Li H (2018) Optimal charging/discharging strategy of electric vehicles in residential area considering user comprehensive satisfaction. E3S Web Conf 53:02012. https://doi.org/10.1051/e3sconf/20185302012

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