Predicting and Managing EV Charging Demand on Electrical Grids: A Simulation-Based Approach
Issued Date
2023-04-01
Resource Type
eISSN
19961073
Scopus ID
2-s2.0-85156110561
Journal Title
Energies
Volume
16
Issue
8
Rights Holder(s)
SCOPUS
Bibliographic Citation
Energies Vol.16 No.8 (2023)
Suggested Citation
Jaruwatanachai P., Sukamongkol Y., Samanchuen T. Predicting and Managing EV Charging Demand on Electrical Grids: A Simulation-Based Approach. Energies Vol.16 No.8 (2023). doi:10.3390/en16083562 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/81343
Title
Predicting and Managing EV Charging Demand on Electrical Grids: A Simulation-Based Approach
Author(s)
Author's Affiliation
Other Contributor(s)
Abstract
Electric vehicles (EVs) are becoming increasingly popular, and it is important for utilities to understand their charging characteristics to accurately estimate the demand on the electrical grid. In this work, we developed simulation models for different EV charging scenarios in the home sector. We used them to predict maximum demand based on the increasing penetration of EV consumers. We comprehensively reviewed the literature on EV charging technologies, battery capacity, charging situations, and the impact of EV loads. Our results suggest a method for visualizing the impact of EV charging loads by considering factors such as state of charge, arrival time, charging duration, rate of charge, maximum charging power, and involvement rate. This method can be used to model load profiles and determine the number of chargers needed to meet EV user demand. We also explored the use of a time-of-use (TOU) tariff as a demand response strategy, which encourages EV owners to charge their vehicles off-peak in order to avoid higher demand charges. Our simulation results show the effects of various charging conditions on load profiles and indicate that the current TOU price strategy can accommodate a 20% growth in EV consumers, while the alternative TOU price strategy can handle up to a 30% penetration level.