Next Article in Journal
Energy Management of Microgrids for Smart Cities: A Review
Previous Article in Journal
A Comprehensive Analysis of Wind Turbine Blade Damage
Previous Article in Special Issue
Model-Free Neural Network-Based Predictive Control for Robust Operation of Power Converters
Article

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

1
Department of Engineering and Applied Sciences, University of Bergamo, 24044 Dalmine, Italy
2
School of Computing and Engineering, University of West London, London W5 5RF, UK
3
Department of Maths, Physics and Electrical Engineering, University of Northumbria at Newcastle, Newcastle-upon-Tyne NE1 8ST, UK
4
Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia
*
Author to whom correspondence should be addressed.
Academic Editors: Josep M. Guerrero, Mehdi Savaghebi and Hannu Laaksonen
Energies 2021, 14(18), 5971; https://doi.org/10.3390/en14185971
Received: 27 July 2021 / Revised: 13 September 2021 / Accepted: 15 September 2021 / Published: 20 September 2021
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%. View Full-Text
Keywords: electric vehicle; energy management system; demand response; differential evolution; home-microgrid electric vehicle; energy management system; demand response; differential evolution; home-microgrid
Show Figures

Figure 1

MDPI and ACS Style

Fouladfar, M.H.; Saeed, N.; Marzband, M.; Franchini, G. Home-Microgrid Energy Management Strategy Considering EV’s Participation in DR. Energies 2021, 14, 5971. https://doi.org/10.3390/en14185971

AMA Style

Fouladfar MH, Saeed N, Marzband M, Franchini G. Home-Microgrid Energy Management Strategy Considering EV’s Participation in DR. Energies. 2021; 14(18):5971. https://doi.org/10.3390/en14185971

Chicago/Turabian Style

Fouladfar, Mohammad H., Nagham Saeed, Mousa Marzband, and Giuseppe Franchini. 2021. "Home-Microgrid Energy Management Strategy Considering EV’s Participation in DR" Energies 14, no. 18: 5971. https://doi.org/10.3390/en14185971

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop