Home-Microgrid Energy Management Strategy Considering EV’s Participation in DR

Home-Microgrid Energy Management Strategy Considering EV’s Participation in DR

Electric vehicles (EVs) have a lot of potential to play an essential role in the smart power grid. EVs not only can reduce the amount of emission yielded from fossil fuels but also can be considered as an energy storage system (ES) and a backup system. EVs could support the demand response (DR) stra...

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Bibliographic Details
Main Authors: Mohammad Hossein Fouladfar, Nagham Saeed, Mousa Marzband, Giuseppe Franchini
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Energies
Subjects:
electric vehicle
energy management system
demand response
differential evolution
home-microgrid
Online Access:https://www.mdpi.com/1996-1073/14/18/5971
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spelling doaj-b78b58f6faa9495caa9770cb44cbee482021-09-26T00:06:11ZengMDPI AGEnergies1996-10732021-09-01145971597110.3390/en14185971Home-Microgrid Energy Management Strategy Considering EV’s Participation in DRMohammad Hossein Fouladfar0Nagham Saeed1Mousa Marzband2Giuseppe Franchini3Department of Engineering and Applied Sciences, University of Bergamo, 24044 Dalmine, ItalySchool of Computing and Engineering, University of West London, London W5 5RF, UKDepartment of Maths, Physics and Electrical Engineering, University of Northumbria at Newcastle, Newcastle-upon-Tyne NE1 8ST, UKDepartment of Engineering and Applied Sciences, University of Bergamo, 24044 Dalmine, ItalyElectric vehicles (EVs) have a lot of potential to play an essential role in the smart power grid. EVs not only can reduce the amount of emission yielded from fossil fuels but also can be considered as an energy storage system (ES) and a backup system. EVs could support the demand response (DR) strategy that is considered as utmost importance to shift electricity demand in peak hours. This article aims to assess the impact of the presence of EV on DR strategy in a home-microgrid (H-MG). In order to reach the optimal set point, our energy management system (EMS) has been merged with differential evolution (DE) method. The results were auspicious and showed that the proposed method could decrease market clearing price (MCP) by 26% and increase the performance of DR by 17%.https://www.mdpi.com/1996-1073/14/18/5971electric vehicleenergy management systemdemand responsedifferential evolutionhome-microgrid
collection DOAJ
language English
format Article
sources DOAJ
author Mohammad Hossein Fouladfar
Nagham Saeed
Mousa Marzband
Giuseppe Franchini
spellingShingle Mohammad Hossein Fouladfar
Nagham Saeed
Mousa Marzband
Giuseppe Franchini
Home-Microgrid Energy Management Strategy Considering EV’s Participation in DR
Energies
electric vehicle
energy management system
demand response
differential evolution
home-microgrid
author_facet Mohammad Hossein Fouladfar
Nagham Saeed
Mousa Marzband
Giuseppe Franchini
author_sort Mohammad Hossein Fouladfar
title Home-Microgrid Energy Management Strategy Considering EV’s Participation in DR
title_short Home-Microgrid Energy Management Strategy Considering EV’s Participation in DR
title_full Home-Microgrid Energy Management Strategy Considering EV’s Participation in DR
title_fullStr Home-Microgrid Energy Management Strategy Considering EV’s Participation in DR
title_full_unstemmed Home-Microgrid Energy Management Strategy Considering EV’s Participation in DR
title_sort home-microgrid energy management strategy considering ev’s participation in dr
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2021-09-01
description Electric vehicles (EVs) have a lot of potential to play an essential role in the smart power grid. EVs not only can reduce the amount of emission yielded from fossil fuels but also can be considered as an energy storage system (ES) and a backup system. EVs could support the demand response (DR) strategy that is considered as utmost importance to shift electricity demand in peak hours. This article aims to assess the impact of the presence of EV on DR strategy in a home-microgrid (H-MG). In order to reach the optimal set point, our energy management system (EMS) has been merged with differential evolution (DE) method. The results were auspicious and showed that the proposed method could decrease market clearing price (MCP) by 26% and increase the performance of DR by 17%.
topic electric vehicle
energy management system
demand response
differential evolution
home-microgrid
url https://www.mdpi.com/1996-1073/14/18/5971
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AT naghamsaeed homemicrogridenergymanagementstrategyconsideringevsparticipationindr
AT mousamarzband homemicrogridenergymanagementstrategyconsideringevsparticipationindr
AT giuseppefranchini homemicrogridenergymanagementstrategyconsideringevsparticipationindr
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