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Demand Side Management Techniques for Home Energy Management Systems for Smart Cities

Author

Listed:
  • Muhammad Majid Hussain

    (Department of Electrical and Electronic Engineering, University of South Wales, Pontypirdd CF37 1DL, UK)

  • Rizwan Akram

    (Department of Electrical Engineering, College of Engineering, Qassim University, P.O. Box 6677, Qassim 51452, Saudi Arabia)

  • Zulfiqar Ali Memon

    (Department of Electrical and Computer Engineering, Ajman University, Ajman P.O. Box 346, United Arab Emirates)

  • Mian Hammad Nazir

    (Department of Electrical and Electronic Engineering, University of South Wales, Pontypirdd CF37 1DL, UK)

  • Waqas Javed

    (School of Computing, Engineering and Built Environment Glasgow Caledonian University, Glasgow G4 OBA, UK)

  • Muhammad Siddique

    (Department of Electrical Engineering & Computer Science, NFC Institute of Engineering and Technology, Multan 66000, Pakistan)

Abstract

In this paper, three distinct distributed energy resources (DERs) modules have been built based on demand side management (DSM), and their use in power management of dwelling in future smart cities has been investigated. The investigated modules for DERs system are: incorporation of load shedding, reduction of grid penetration with renewable energy systems (RES), and implementation of home energy management systems (HEMS). The suggested approaches offer new potential for improving demand side efficiency and helping to minimize energy demand during peak hours. The main aim of this work was to investigate and explore how a specific DSM strategy for DER may assist in reducing energy usage while increasing efficiency by utilizing new developing technology. The Electrical Power System Analysis (ETAP) software was used to model and assess the integration of distributed generation, such as RES, in order to use local power storage. An energy management system has been used to evaluate a PV system with an individual household load, which proved beneficial when evaluating its potential to generate about 20–25% of the total domestic load. In this study, we have investigated how smart home appliances’ energy consumption may be minimized and explained why a management system is required to optimally utilize a PV system. Furthermore, the effect of integration of wind turbines to power networks to reduce the load on the main power grid has also been studied. The study revealed that smart grids improve energy efficiency, security, and management whilst creating environmental awareness for consumers with regards to power usage.

Suggested Citation

  • Muhammad Majid Hussain & Rizwan Akram & Zulfiqar Ali Memon & Mian Hammad Nazir & Waqas Javed & Muhammad Siddique, 2021. "Demand Side Management Techniques for Home Energy Management Systems for Smart Cities," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11740-:d:663713
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    References listed on IDEAS

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    Cited by:

    1. Muhammad Husnain Ashfaq & Zulfiqar Ali Memon & Muhammad Akmal Chaudhary & Muhammad Talha & Jeyraj Selvaraj & Nasrudin Abd Rahim & Muhammad Majid Hussain, 2022. "Robust Dynamic Control of Constant-Current-Source-Based Dual-Active-Bridge DC/DC Converter Used for Off-Board EV Charging," Energies, MDPI, vol. 15(23), pages 1-33, November.
    2. Tatiana Tucunduva Philippi Cortese & Jairo Filho Sousa de Almeida & Giseli Quirino Batista & José Eduardo Storopoli & Aaron Liu & Tan Yigitcanlar, 2022. "Understanding Sustainable Energy in the Context of Smart Cities: A PRISMA Review," Energies, MDPI, vol. 15(7), pages 1-38, March.
    3. Zheng, Zhuang & Shafique, Muhammad & Luo, Xiaowei & Wang, Shengwei, 2024. "A systematic review towards integrative energy management of smart grids and urban energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).

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