Learning in Potential Games for Electric Power Grids: Models, Dynamics, and Outlook-Reference-Cited by-同舟云学术

Learning in Potential Games for Electric Power Grids: Models, Dynamics, and Outlook

Published:2022-09 Issue:3 Volume:16 Page:5079-5091
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Wang Shengyi¹^ORCID,Du Liang¹^ORCID,Marden Jason R.²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA, USA

2. Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, USA

Funder

Pennsylvania Manufacturing Innovation Program

National Science Foundation

ONR

Army Research Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://ieeexplore.ieee.org/ielam/4267003/9866865/9797285-aam.pdf

Reference134 articles.

1. Reducing the Impact of EV Charging Operations on the Distribution Network

2. Charging Electric Vehicles in the Smart City: A Survey of Economy-Driven Approaches

3. Charging games in networks of electrical vehicles;beaude;Proc IEEE 6th Int Conf Netw Games Control Optim,0

4. Decentralized Volt/Var Control of EV Charging Station Inverters for Voltage Regulation

5. Noncooperative Distributed Social Welfare Optimization with EV Charging Response

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