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Load management of electric vehicles charging in new generation power markets based on fuzzy logic and the concept of virtual budget

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Auteur
Fainti R., Karasimou M., Tsionas I., Tsoukalas L.H., Alamaniotis M.
Date
2019
Language
en
DOI
10.1109/IISA.2018.8633621
Sujet
Budget control
Charging time
Computer circuits
Control engineering
Electric load management
Electric power plant loads
Electric vehicles
Power markets
Simulation platform
Traffic congestion
Vehicle-to-grid
Electric Vehicles (EVs)
Electricity infrastructure
Fully automated
Growing demand
Load shifting
User's preferences
Fuzzy logic
Institute of Electrical and Electronics Engineers Inc.
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Résumé
The aim of the current study is the development and the evaluation of a fully automated controller based on fuzzy logic for the control of the charging time of Electric Vehicles (EVs) based on user's preferences and the amount of congestion on the grid. This is paramount for the stability and the safety of the electricity infrastructure due to the excessive load that is introduced with the advent of EVs and the rapidly growing demand for electricity in the modern society. All the simulations and the experiments have been contacted using the GridLAB-D simulation platform. ©2018 IEEE
URI
http://hdl.handle.net/11615/71441
Collections
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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