Smart Electric Vehicle Charging via Adjustable Real-Time Charging Rates

This paper presents a plug-in electric vehicle (PEV) charging control algorithm, Adjustable Real-Time Valley Filling (ARVF), to improve PEV charging and minimize adverse effects from uncontrolled PEV charging on the grid. ARVF operates in real time, adjusts to sudden deviations between forecasted an...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Theron Smith, Joseph Garcia, Gregory Washington
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
T
Acceso en línea:https://doaj.org/article/bd9b3bb79ac2481fbfe15ae238f6ff72
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:bd9b3bb79ac2481fbfe15ae238f6ff72
record_format dspace
spelling oai:doaj.org-article:bd9b3bb79ac2481fbfe15ae238f6ff722021-11-25T16:41:51ZSmart Electric Vehicle Charging via Adjustable Real-Time Charging Rates10.3390/app1122109622076-3417https://doaj.org/article/bd9b3bb79ac2481fbfe15ae238f6ff722021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10962https://doaj.org/toc/2076-3417This paper presents a plug-in electric vehicle (PEV) charging control algorithm, Adjustable Real-Time Valley Filling (ARVF), to improve PEV charging and minimize adverse effects from uncontrolled PEV charging on the grid. ARVF operates in real time, adjusts to sudden deviations between forecasted and actual baseloads, and uses fuzzy logic to deliver variable charging rates between 1.9 and 7.2 kW. Fuzzy logic is selected for this application because it can optimize nonlinear systems, operate in real time, scale efficiently, and be computationally fast, making ARVF a robust algorithm for real-world applications. In addition, this study proves that when the forecasted and actual baseload vary by more than 20%, its real-time capability is more advantageous than algorithms that use optimization techniques on predicted baseload data.Theron SmithJoseph GarciaGregory WashingtonMDPI AGarticlefuzzy logicplug-in electric vehiclevalley fillingdistribution transformerelectric vehicle chargingsmart chargingTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10962, p 10962 (2021)
institution DOAJ
collection DOAJ
language EN
topic fuzzy logic
plug-in electric vehicle
valley filling
distribution transformer
electric vehicle charging
smart charging
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle fuzzy logic
plug-in electric vehicle
valley filling
distribution transformer
electric vehicle charging
smart charging
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Theron Smith
Joseph Garcia
Gregory Washington
Smart Electric Vehicle Charging via Adjustable Real-Time Charging Rates
description This paper presents a plug-in electric vehicle (PEV) charging control algorithm, Adjustable Real-Time Valley Filling (ARVF), to improve PEV charging and minimize adverse effects from uncontrolled PEV charging on the grid. ARVF operates in real time, adjusts to sudden deviations between forecasted and actual baseloads, and uses fuzzy logic to deliver variable charging rates between 1.9 and 7.2 kW. Fuzzy logic is selected for this application because it can optimize nonlinear systems, operate in real time, scale efficiently, and be computationally fast, making ARVF a robust algorithm for real-world applications. In addition, this study proves that when the forecasted and actual baseload vary by more than 20%, its real-time capability is more advantageous than algorithms that use optimization techniques on predicted baseload data.
format article
author Theron Smith
Joseph Garcia
Gregory Washington
author_facet Theron Smith
Joseph Garcia
Gregory Washington
author_sort Theron Smith
title Smart Electric Vehicle Charging via Adjustable Real-Time Charging Rates
title_short Smart Electric Vehicle Charging via Adjustable Real-Time Charging Rates
title_full Smart Electric Vehicle Charging via Adjustable Real-Time Charging Rates
title_fullStr Smart Electric Vehicle Charging via Adjustable Real-Time Charging Rates
title_full_unstemmed Smart Electric Vehicle Charging via Adjustable Real-Time Charging Rates
title_sort smart electric vehicle charging via adjustable real-time charging rates
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/bd9b3bb79ac2481fbfe15ae238f6ff72
work_keys_str_mv AT theronsmith smartelectricvehiclechargingviaadjustablerealtimechargingrates
AT josephgarcia smartelectricvehiclechargingviaadjustablerealtimechargingrates
AT gregorywashington smartelectricvehiclechargingviaadjustablerealtimechargingrates
_version_ 1718413040581345280