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Investigation of Home Energy Management with Advanced Direct Load Control and Optimal Scheduling of Controllable Loads

Author

Listed:
  • Kanato Tamashiro

    (Fuculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan)

  • Talal Alharbi

    (Department of Electrical Engineering, College of Engineering, Qassim University, Buraydah 52571, Saudi Arabia)

  • Alexey Mikhaylov

    (Financial Research Institute, Ministry of Finance of the Russian Federation, 127006 Moscow, Russia)

  • Ashraf M. Hemeida

    (Fuculty of Energy Engineering, Awan University, Aswan 81711, Egypt)

  • Narayanan Krishnan

    (Department of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur 613401, India)

  • Mohammed Elsayed Lotfy

    (Fuculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan
    Electrical Power & Machines Department, Zagazig University, Zagazig 44519, Egypt)

  • Tomonobu Senjyu

    (Fuculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan)

Abstract

Due to the rapid changes in the energy situation on a global scale, the amount of RES installed using clean renewable energy sources such as Photovoltaic (PV) and Wind-power Generators (WGs) is rapidly increasing. As a result, there has been a great deal of research aimed at promoting the adoption of renewable energy. Research on Demand-side Management (DSM) has also been important in promoting the adoption of RES. However, the massive introduction of PV has changed the shape of the demand curve for electricity, which significantly impacts the operational planning of thermal generators. Therefore, this paper proposes an Advanced Direct Load Control (ADLC) model to temporarily shutdown the electric connection between the power grid and Smart Houses (SHs). The most important feature of the proposed model is that it temporarily shuts down the electric connection with the power grid. The shutdown is performed twice to increase the load demand during daytime hours and reduce the peak load during night-time hours. The proposed model also promotes the self-consumption of the generated power during the shutdown period, which is expected to reduce the operating cost. This paper considers six case studies for SH, and the operational costs and carbon dioxide emissions are compared and discussed. The results show that the SH with ADLC successfully reduces the operating costs and carbon dioxide emissions.

Suggested Citation

  • Kanato Tamashiro & Talal Alharbi & Alexey Mikhaylov & Ashraf M. Hemeida & Narayanan Krishnan & Mohammed Elsayed Lotfy & Tomonobu Senjyu, 2021. "Investigation of Home Energy Management with Advanced Direct Load Control and Optimal Scheduling of Controllable Loads," Energies, MDPI, vol. 14(21), pages 1-14, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7314-:d:671881
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    References listed on IDEAS

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    Cited by:

    1. Alexey Mikhaylov, 2022. "Sustainable Development and Renewable Energy: A New View to a Global Problem," Energies, MDPI, vol. 15(4), pages 1-4, February.

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