Optimization of multi-vehicle charging and discharging efficiency under time constraints based on reinforcement learning-Reference-Cited by-同舟云学术

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Optimization of multi-vehicle charging and discharging efficiency under time constraints based on reinforcement learning

Published:2024-10 Issue: Volume:105 Page:724-735
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Liu Peng^ORCID,Liu Zhe,Fu Tingting^ORCID,Garg Sahil,Kaddoum Georges^ORCID,Hassan Mohammad Mehedi

Funder

National Natural Science Foundation of China

King Saud University

Publisher

Elsevier BV

Reference36 articles.

1. Electric vehicles beyond energy storage and modern power networks: Challenges and applications;Alshahrani;IEEE Access,2019

2. Universal electric vehicle charging infrastructure analysis tool;Aizpuru,2020

3. Research on V2G control of smart microgrid;Zhang,2020

4. Privacy-preserving context-based electric vehicle dispatching for energy scheduling in microgrids: An online learning approach;Liu;IEEE Trans. Emerg. Top. Comput. Intell.,2022

5. Multi-objective optimal scheduling strategy of microgrid based on V2g technology;Zhang,2022

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