A Simulation Environment for Smart Charging of Electric Vehicles Using a Multi-objective Evolutionary Algorithm

Integration of the electric vehicles (EV) into the power grid is one of the most important efforts to reduce CO2 emissions in the transport sector. Electric vehicles can put significant stress on sections of the distribution grid while charging. In order to maintain grid availability, it is essentia...

Full description

Saved in:
Bibliographic Details
Published inInformation and Communication on Technology for the Fight against Global Warming pp. 56 - 63
Main Authors Ramezani, Maryam, Graf, Mario, Vogt, Harald
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Distribution Grid
Electric Vehicle
Electricity Price
Hard Constraint
Simulation Environment
Online AccessGet full text

Cover

More Information
Summary:Integration of the electric vehicles (EV) into the power grid is one of the most important efforts to reduce CO2 emissions in the transport sector. Electric vehicles can put significant stress on sections of the distribution grid while charging. In order to maintain grid availability, it is essential that the individual charging schedules are aligned with each other such that the total load does not exceed the grid’s maximum capacity. In addition to this hard constraint, user preferences, constraints enforced by the battery, other grid loads, market prices, consumer tariffs, and possibly other factors have to be considered when creating charging schedules. In this paper, we present the design of a simulation environment, which produces charging schedules using a multi-objective, evolutionary optimization algorithm.
ISBN:3642234461
9783642234460
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-23447-7_6