Planning and Optimizing Charging Infrastructure and Scheduling in Smart Grids with PyPSA-LOPF: A Case Study at Cadi Ayyad University

Planning and Optimizing Charging Infrastructure and Scheduling in Smart Grids with PyPSA-LOPF: A Case Study at Cadi Ayyad University

This paper presents an optimization model for the charging infrastructure of electric vehicles (EV) designed to minimize installation costs, maximize the utilization of photovoltaic energy, reduce dependency on the electrical grid, and optimize charging times. The model utilizes methodologies such a...

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Bibliographic Details
Main Authors: Meriem Belaid, Said El Beid, Said Doubabi, Anas Hatim
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:World Electric Vehicle Journal
Subjects:
optimization tool
charging infrastructure
electric vehicle
Python
PYPSA
optimal linear power flow
Online Access:https://www.mdpi.com/2032-6653/16/5/278
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