Agent based online learning approach for power flow control of electric vehicle fast charging station integrated with smart microgrid-Reference-Cited by-同舟云学术

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Agent based online learning approach for power flow control of electric vehicle fast charging station integrated with smart microgrid

Published:2022-06-02 Issue: Volume: Page:
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Gen

Author:

Amir Mohammad¹^ORCID,Zaheeruddin ¹,Haque Ahteshamul¹,Kurukuru V. S. Bharath¹,Bakhsh Farhad Ilahi²,Ahmad Akbar³^ORCID

Affiliation:

1. Advance Power Electronics Research Lab, Department of Electrical Engineering Jamia Millia Islamia New Delhi India

2. Department of Electrical Engineering National Institute of Technology Srinagar Srinagar India

3. Faculty of Science and Information Technology MI College Alimas Magu Malé Maldives

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/rpg2.12508

Reference43 articles.

1. A Review on Electric Vehicles: Technologies and Challenges

2. Global EV outlook 2021 ‐ Accelerating ambitions despite the pandemic;International Energy Agency;Glob. EV Outlook 2021.,2021

3. Review of Positive and Negative Impacts of Electric Vehicles Charging on Electric Power Systems

4. A Comprehensive Review on Solar Powered Electric Vehicle Charging System

5. Amir M. Zaheeruddin Haque A.:Integration of EVs aggregator with microgrid and impact of V2G power on peak regulation. In:2021 IEEE 4th International Conference on Computing Power and Communication Technologies (GUCON).Kuala Lumpur Malaysia pp.1–6(2021)

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