Optimizing Maximum Profit for Electric Vehicle Users in a Bipolar DC Distribution Grid with Probabilistic EV Load Demand and V2G Integration-Reference-Cited by-同舟云学术

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Optimizing Maximum Profit for Electric Vehicle Users in a Bipolar DC Distribution Grid with Probabilistic EV Load Demand and V2G Integration

Published:2024-03-06 Issue: Volume:13 Page:1-6
ISSN:
Container-title:2024 12th International Electrical Engineering Congress (iEECON)
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Author:

Sakulphaisan Guntinan¹,Son-in Sirirat²,Junhuathon Nitikorn³

Affiliation:

1. Pathumwan institute of technology,Industrial technology and innovation management, Faculty of science and technology,Bangkok,Thailand

2. Rajabhat University,Electrical Engineering and Automation Control Systems, Faculty of engineering and industrial technology Bansomdejchaopraya,Bangkok,Thailand

3. Rajamangala University of Technology Thanyaburi,Faculty of Engineering,Department of Electrical Engineering,Pathumthani,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10537606/10537804/10537981.pdf?arnumber=10537981

Reference8 articles.

1. Electric Vehicles: Benefits, Challenges, and Potential Solutions for Widespread Adaptation;Alanazi;Applied Sciences,2023

2. Generic power flow algorithm for bipolar DC microgrids based on Newton–Raphson method

3. Multi-type electric vehicle load prediction based on Monte Carlo simulation

4. A comprehensive analysis of Vehicle to Grid (V2G) systems and scholarly literature on the application of such systems

5. Beyond batteries: An examination of the benefits and barriers to plug-in hybrid electric vehicles (PHEVs) and a vehicle-to-grid (V2G) transition

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