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A Novel Time-of-Use Pricing Based Energy Management System for Smart Home Appliances: Cost-Effective Method

Author

Listed:
  • Fahad Alsokhiry

    (Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    K. A. CARE Energy Research and Innovation Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Pierluigi Siano

    (Department of Management & Innovation Systems, University of Salerno, 84084 Fisciano, Italy
    Department of Electrical and Electronic Engineering Science, University of Johannesburg, Johannesburg 2006, South Africa)

  • Andres Annuk

    (Institute of Forestry and Engineering, Estonian University of Life Sciences, 51006 Tartu, Estonia)

  • Mohamed A. Mohamed

    (Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61519, Egypt)

Abstract

Smart grids (SG) allow users to plan and control device usage patterns optimally, thereby minimizing power costs, peak-to-average ratios (PAR), and peak load demands. The present study develops a typical framework of a home energy management system (HEMS) for SG scenarios using newly limited and multi-limited planning approaches for domestic users. Time-of-use pricing (TOUP) is used to develop, handle, and manage the optimization problem properly. As a capable method for optimizing the proposed problem, this paper uses a robust meta-heuristic algorithm named wind-driven optimization algorithm (WDOA) and compares it to the other optimization algorithms in order to demonstrate its efficiency. In addition, it integrates a rooftop photovoltaic (PV) system with the system in order to show that all devices are cost-effective if managed properly. Eight diverse case studies are analyzed using a variety of time planning algorithms. The simulation results advocate for the quality and high performance of the proposed model by minimizing the total cost and managing energy consumption economically.

Suggested Citation

  • Fahad Alsokhiry & Pierluigi Siano & Andres Annuk & Mohamed A. Mohamed, 2022. "A Novel Time-of-Use Pricing Based Energy Management System for Smart Home Appliances: Cost-Effective Method," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14556-:d:964400
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    References listed on IDEAS

    as
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    2. Hafiz Majid Hussain & Nadeem Javaid & Sohail Iqbal & Qadeer Ul Hasan & Khursheed Aurangzeb & Musaed Alhussein, 2018. "An Efficient Demand Side Management System with a New Optimized Home Energy Management Controller in Smart Grid," Energies, MDPI, vol. 11(1), pages 1-28, January.
    3. Nadeem Javaid & Sakeena Javaid & Wadood Abdul & Imran Ahmed & Ahmad Almogren & Atif Alamri & Iftikhar Azim Niaz, 2017. "A Hybrid Genetic Wind Driven Heuristic Optimization Algorithm for Demand Side Management in Smart Grid," Energies, MDPI, vol. 10(3), pages 1-27, March.
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    Cited by:

    1. Shu, Lei & Mo, Yunjeong & Zhao, Dong, 2024. "Energy retrofits for smart and connected communities: Scopes and technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).

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