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

Author

Listed:
  • Mohammad Hossein Fouladfar

    (Department of Engineering and Applied Sciences, University of Bergamo, 24044 Dalmine, Italy)

  • Nagham Saeed

    (School of Computing and Engineering, University of West London, London W5 5RF, UK)

  • Mousa Marzband

    (Department of Maths, Physics and Electrical Engineering, University of Northumbria at Newcastle, Newcastle-upon-Tyne NE1 8ST, UK
    Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Giuseppe Franchini

    (Department of Engineering and Applied Sciences, University of Bergamo, 24044 Dalmine, Italy)

Abstract

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%.

Suggested Citation

  • Mohammad Hossein Fouladfar & Nagham Saeed & Mousa Marzband & Giuseppe Franchini, 2021. "Home-Microgrid Energy Management Strategy Considering EV’s Participation in DR," Energies, MDPI, vol. 14(18), pages 1-12, September.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5971-:d:639561
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    References listed on IDEAS

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    1. Ayusee Swain & Surender Reddy Salkuti & Kaliprasanna Swain, 2021. "An Optimized and Decentralized Energy Provision System for Smart Cities," Energies, MDPI, vol. 14(5), pages 1-21, March.
    2. Sang Heon Chae & Gi Hoon Kim & Yeong-Jun Choi & Eel-Hwan Kim, 2020. "Design of Isolated Microgrid System Considering Controllable EV Charging Demand," Sustainability, MDPI, vol. 12(22), pages 1-14, November.
    3. Shahid Hussain & Ki-Beom Lee & Mohamed A. Ahmed & Barry Hayes & Young-Chon Kim, 2020. "Two-Stage Fuzzy Logic Inference Algorithm for Maximizing the Quality of Performance under the Operational Constraints of Power Grid in Electric Vehicle Parking Lots," Energies, MDPI, vol. 13(18), pages 1-31, September.
    4. Shahid Hussain & Mohamed A. Ahmed & Ki-Beom Lee & Young-Chon Kim, 2020. "Fuzzy Logic Weight Based Charging Scheme for Optimal Distribution of Charging Power among Electric Vehicles in a Parking Lot," Energies, MDPI, vol. 13(12), pages 1-27, June.
    5. Abdul Ghani Olabi & Tabbi Wilberforce & Mohammad Ali Abdelkareem & Mohamad Ramadan, 2021. "Critical Review of Flywheel Energy Storage System," Energies, MDPI, vol. 14(8), pages 1-33, April.
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    Cited by:

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