Combined Framework with Heuristic Programming and Rule-Based Strategies for Scheduling and Real Time Operation in Electric Vehicle Charging Stations

Combined Framework with Heuristic Programming and Rule-Based Strategies for Scheduling and Real Time Operation in Electric Vehicle Charging Stations

This paper proposes a flexible framework for scheduling and real time operation of electric vehicle charging stations (EVCS). The methodology applies a multi-objective evolutionary particle swarm optimization algorithm (EPSO) for electric vehicles (EVs) scheduling based on a day-ahead scenario. Then...

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Bibliographic Details
Main Authors: Héricles Eduardo Oliveira Farias, Camilo Alberto Sepulveda Rangel, Leonardo Weber Stringini, Luciane Neves Canha, Daniel Pegoraro Bertineti, Wagner da Silva Brignol, Zeno Iensen Nadal
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Energies
Subjects:
EVCS
EPSO
rule-based
EV scheduling
Online Access:https://www.mdpi.com/1996-1073/14/5/1370

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https://www.mdpi.com/1996-1073/14/5/1370

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