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An Optimal Energy Management System (EMS) for Residential and Industrial Microgrids

Author

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  • M. Bilal Nasir

    (Department of Electrical Engineering, University of Management and Technology, Lahore 54770, Punjab, Pakistan)

  • Asif Hussain

    (Department of Electrical Engineering, University of Management and Technology, Lahore 54770, Punjab, Pakistan)

  • Kamran Ali Khan Niazi

    (Department of Mechanical and Production Engineering-Fluids and Energy, 8000 Aarhus, Denmark)

  • Mashood Nasir

    (European Association of Storage of Energy, 1030 Brussels, Belgium)

Abstract

This research presents an optimal scheme for the integration of renewable resources with the utility grid to minimize the operational cost of the residential and industrial microgrids. With the changing paradigm of solar photovoltaic in low-voltage distribution networks, utilities have allowed net metering and feed-in tariff (FiT). These incentives encourage residential and industrial consumers to contribute toward energy generation. However, in conventional mode, the system may underperform if resources are not scheduled optimally. To compensate for the price difference during off-peak and on-peak hours, the energy should be taken from the grid when electricity prices are lower and supplied to the grid when the electricity price is higher. The proposed models will therefore allow optimal resource utilization considering intermittent renewable generation as well as a time-varying utility tariff. A complete comparative analysis of on-grid and off-grid models was carried out. The results indicate that the daily average saving is about 32.0% by using the proposed on-grid scheme, where a feed-in tariff is available.

Suggested Citation

  • M. Bilal Nasir & Asif Hussain & Kamran Ali Khan Niazi & Mashood Nasir, 2022. "An Optimal Energy Management System (EMS) for Residential and Industrial Microgrids," Energies, MDPI, vol. 15(17), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6266-:d:899785
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    References listed on IDEAS

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    1. Awais Manzoor & Nadeem Javaid & Ibrar Ullah & Wadood Abdul & Ahmad Almogren & Atif Alamri, 2017. "An Intelligent Hybrid Heuristic Scheme for Smart Metering based Demand Side Management in Smart Homes," Energies, MDPI, vol. 10(9), pages 1-28, August.
    2. Mashood Nasir & Hassan Abbas Khan & Irfan Khan & Naveed ul Hassan & Nauman Ahmad Zaffar & Aneeq Mehmood & Thilo Sauter & S. M. Muyeen, 2019. "Grid Load Reduction through Optimized PV Power Utilization in Intermittent Grids Using a Low-Cost Hardware Platform," Energies, MDPI, vol. 12(9), pages 1-21, May.
    3. Hart, Elaine K. & Jacobson, Mark Z., 2011. "A Monte Carlo approach to generator portfolio planning and carbon emissions assessments of systems with large penetrations of variable renewables," Renewable Energy, Elsevier, vol. 36(8), pages 2278-2286.
    4. Sadaqat Ali & Zhixue Zheng & Michel Aillerie & Jean-Paul Sawicki & Marie-Cécile Péra & Daniel Hissel, 2021. "A Review of DC Microgrid Energy Management Systems Dedicated to Residential Applications," Energies, MDPI, vol. 14(14), pages 1-26, July.
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    Cited by:

    1. Nikoleta Andreadou & Evangelos Kotsakis & Marcelo Masera, 2022. "Interoperability Testing of a Smart Home Automation System under Explicit Demand Response Schemes," Energies, MDPI, vol. 15(21), pages 1-24, October.
    2. Michał Białkowski & Beata Szetela, 2023. "Discount as an Example of a Guarantee Instrument in the Field of the Consumer’s Right to Energy of an Adequate Quality," Energies, MDPI, vol. 16(4), pages 1-16, February.

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