IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i17p6266-d899785.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/17/6266/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/17/6266/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Panagiotis Michailidis & Iakovos Michailidis & Dimitrios Vamvakas & Elias Kosmatopoulos, 2023. "Model-Free HVAC Control in Buildings: A Review," Energies, MDPI, vol. 16(20), pages 1-45, October.
    2. Gerbaulet, Clemens & von Hirschhausen, Christian & Kemfert, Claudia & Lorenz, Casimir & Oei, Pao-Yu, 2019. "European electricity sector decarbonization under different levels of foresight," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 141, pages 973-987.
    3. Morgan Bazilian & Patrick Nussbaumer & Hans-Holger Rogner & Abeeku Brew-Hammond & Vivien Foster & Shonali Pachauri & Eric Williams & Mark Howells & Philippe Niyongabo & Lawrence Musaba & Brian Ó Galla, 2011. "Energy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa," Working Papers 2011.68, Fondazione Eni Enrico Mattei.
    4. Pablo González-Inostroza & Claudia Rahmann & Ricardo Álvarez & Jannik Haas & Wolfgang Nowak & Christian Rehtanz, 2021. "The Role of Fast Frequency Response of Energy Storage Systems and Renewables for Ensuring Frequency Stability in Future Low-Inertia Power Systems," Sustainability, MDPI, vol. 13(10), pages 1-16, May.
    5. Sulman Shahzad & Muhammad Abbas Abbasi & Hassan Ali & Muhammad Iqbal & Rania Munir & Heybet Kilic, 2023. "Possibilities, Challenges, and Future Opportunities of Microgrids: A Review," Sustainability, MDPI, vol. 15(8), pages 1-28, April.
    6. Tae-Gyu Kim & Hoon Lee & Chang-Gyun An & Junsin Yi & Chung-Yuen Won, 2023. "Hybrid AC/DC Microgrid Energy Management Strategy Based on Two-Step ANN," Energies, MDPI, vol. 16(4), pages 1-23, February.
    7. Lenzen, Manfred & McBain, Bonnie & Trainer, Ted & Jütte, Silke & Rey-Lescure, Olivier & Huang, Jing, 2016. "Simulating low-carbon electricity supply for Australia," Applied Energy, Elsevier, vol. 179(C), pages 553-564.
    8. Niina Helistö & Juha Kiviluoma & Hannele Holttinen & Jose Daniel Lara & Bri‐Mathias Hodge, 2019. "Including operational aspects in the planning of power systems with large amounts of variable generation: A review of modeling approaches," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(5), September.
    9. Ahsan, Syed M. & Khan, Hassan A. & Hassan, Naveed-ul & Arif, Syed M. & Lie, Tek-Tjing, 2020. "Optimized power dispatch for solar photovoltaic-storage system with multiple buildings in bilateral contracts," Applied Energy, Elsevier, vol. 273(C).
    10. Haneef Ullah & Murad Khan & Irshad Hussain & Ibrar Ullah & Peerapong Uthansakul & Naeem Khan, 2021. "An Optimal Energy Management System for University Campus Using the Hybrid Firefly Lion Algorithm (FLA)," Energies, MDPI, vol. 14(19), pages 1-16, September.
    11. Arifa Tanveer & Shihong Zeng & Muhammad Irfan & Rui Peng, 2021. "Do Perceived Risk, Perception of Self-Efficacy, and Openness to Technology Matter for Solar PV Adoption? An Application of the Extended Theory of Planned Behavior," Energies, MDPI, vol. 14(16), pages 1-24, August.
    12. Trainer, Ted, 2014. "The limits to solar thermal electricity," Energy Policy, Elsevier, vol. 73(C), pages 57-64.
    13. Hong, Taehoon & Koo, Choongwan & Kwak, Taehyun, 2013. "Framework for the implementation of a new renewable energy system in an educational facility," Applied Energy, Elsevier, vol. 103(C), pages 539-551.
    14. Huo, Tengfei & Du, Qianxi & Xu, Linbo & Shi, Qingwei & Cong, Xiaobo & Cai, Weiguang, 2023. "Timetable and roadmap for achieving carbon peak and carbon neutrality of China's building sector," Energy, Elsevier, vol. 274(C).
    15. Elliston, Ben & MacGill, Iain & Diesendorf, Mark, 2013. "Least cost 100% renewable electricity scenarios in the Australian National Electricity Market," Energy Policy, Elsevier, vol. 59(C), pages 270-282.
    16. Mohammed Abdullah H. Alshehri & Youguang Guo & Gang Lei, 2023. "Energy Management Strategies of Grid-Connected Microgrids under Different Reliability Conditions," Energies, MDPI, vol. 16(9), pages 1-22, May.
    17. Tüysüz, Metin & Okumuş, Halil Ibrahim & Aymaz, Şeyma & Çavdar, Bora, 2024. "Real-time application of a demand-side management strategy using optimization algorithms," Applied Energy, Elsevier, vol. 368(C).
    18. Frew, Bethany A. & Becker, Sarah & Dvorak, Michael J. & Andresen, Gorm B. & Jacobson, Mark Z., 2016. "Flexibility mechanisms and pathways to a highly renewable US electricity future," Energy, Elsevier, vol. 101(C), pages 65-78.
    19. Fathy, Ahmed & Ferahtia, Seydali & Rezk, Hegazy & Yousri, Dalia & Abdelkareem, Mohammad Ali & Olabi, A.G., 2022. "Optimal adaptive fuzzy management strategy for fuel cell-based DC microgrid," Energy, Elsevier, vol. 247(C).
    20. Lu Liu & Yun Zeng, 2023. "Intelligent ISSA-Based Non-Singular Terminal Sliding-Mode Control of DC–DC Boost Converter Feeding a Constant Power Load System," Energies, MDPI, vol. 16(13), pages 1-23, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6266-:d:899785. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.