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A dynamic energy management system using smart metering

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  • Mbungu, Nsilulu T.
  • Bansal, Ramesh C.
  • Naidoo, Raj M.
  • Bettayeb, Maamar
  • Siti, Mukwanga W.
  • Bipath, Minnesh

Abstract

Smart grid technologies are a catalyst for the modernisation of the electrical system whilst satisfying all electrical power stakeholders. The application of intelligent systems results in more flexibility and reliability. This paper presents a dynamic energy management system for a microgrid connected to a grid for residential application. The system models a smart metering system to collect data from different components of the electrical system. A grid-tied photovoltaic and energy storage system model is optimally designed. The model uses the framework of a smart grid based on demand response and energy pricing to coordinate the energy flow of a home. Three optimal control scenarios are formulated, where the opportunity energy is considered to be injected to the main grid. These scenarios are two linear methods (open and closed-loop models) and a quadratic approach based on model predictive control. It was observed that the energy storage system plays an essential role in the context of energy-saving and gain from the demand side. The models provide benefits in terms of energy-saving and energy cost. The performance of dynamic modelling is validated with the experimental data from the smart metering system.

Suggested Citation

  • Mbungu, Nsilulu T. & Bansal, Ramesh C. & Naidoo, Raj M. & Bettayeb, Maamar & Siti, Mukwanga W. & Bipath, Minnesh, 2020. "A dynamic energy management system using smart metering," Applied Energy, Elsevier, vol. 280(C).
  • Handle: RePEc:eee:appene:v:280:y:2020:i:c:s0306261920314355
    DOI: 10.1016/j.apenergy.2020.115990
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    2. Karol Bot & Inoussa Laouali & António Ruano & Maria da Graça Ruano, 2021. "Home Energy Management Systems with Branch-and-Bound Model-Based Predictive Control Techniques," Energies, MDPI, vol. 14(18), pages 1-27, September.
    3. Fahad R. Albogamy & Ghulam Hafeez & Imran Khan & Sheraz Khan & Hend I. Alkhammash & Faheem Ali & Gul Rukh, 2021. "Efficient Energy Optimization Day-Ahead Energy Forecasting in Smart Grid Considering Demand Response and Microgrids," Sustainability, MDPI, vol. 13(20), pages 1-29, October.
    4. Gaspare D’Amico & Roberta Arbolino & Lei Shi & Tan Yigitcanlar & Giuseppe Ioppolo, 2021. "Digital Technologies for Urban Metabolism Efficiency: Lessons from Urban Agenda Partnership on Circular Economy," Sustainability, MDPI, vol. 13(11), pages 1-23, May.
    5. D’Amico, Gaspare & Arbolino, Roberta & Shi, Lei & Yigitcanlar, Tan & Ioppolo, Giuseppe, 2022. "Digitalisation driven urban metabolism circularity: A review and analysis of circular city initiatives," Land Use Policy, Elsevier, vol. 112(C).
    6. Abdul K Hamid & Nsilulu T Mbungu & A. Elnady & Ramesh C Bansal & Ali A Ismail & Mohammad A AlShabi, 2023. "A systematic review of grid-connected photovoltaic and photovoltaic/thermal systems: Benefits, challenges and mitigation," Energy & Environment, , vol. 34(7), pages 2775-2814, November.
    7. Busiswe Skosana & Mukwanga W. Siti & Nsilulu T. Mbungu & Sonu Kumar & Willy Mulumba, 2023. "An Evaluation of Potential Strategies in Renewable Energy Systems and Their Importance for South Africa—A Review," Energies, MDPI, vol. 16(22), pages 1-27, November.
    8. Jayachandran, M. & Rao, K. Prasada & Gatla, Ranjith Kumar & Kalaivani, C. & Kalaiarasy, C. & Logasabarirajan, C., 2022. "Operational concerns and solutions in smart electricity distribution systems," Utilities Policy, Elsevier, vol. 74(C).
    9. Karthick Tamilarasu & Charles Raja Sathiasamuel & Jeslin Drusila Nesamalar Joseph & Rajvikram Madurai Elavarasan & Lucian Mihet-Popa, 2021. "Reinforced Demand Side Management for Educational Institution with Incorporation of User’s Comfort," Energies, MDPI, vol. 14(10), pages 1-22, May.
    10. Benavides (Dir. proy.), Juan & Cadena, Ximena & Delgado-Rojas, Martha Elena & García, Helena & García, María Claudia & Medellín, Juan Camilo, 2021. "Asistencia técnica para la implementación del Proyecto de Acción de los NDC en Colombia (UNEP): Entregable 2.2. Informe que contiene los procesos que permitirían la destinación y gestión efectiva de f," Informes de Investigación 21036, Fedesarrollo.
    11. Giovanna Morelli & Cosimo Magazzino & Antonia Rosa Gurrieri & Cesare Pozzi & Marco Mele, 2022. "Designing Smart Energy Systems in an Industry 4.0 Paradigm towards Sustainable Environment," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    12. Jiang, Lulu & Deng, Zhongwei & Tang, Xiaolin & Hu, Lin & Lin, Xianke & Hu, Xiaosong, 2021. "Data-driven fault diagnosis and thermal runaway warning for battery packs using real-world vehicle data," Energy, Elsevier, vol. 234(C).
    13. Maria Symeonidou & Agis M. Papadopoulos, 2022. "Selection and Dimensioning of Energy Storage Systems for Standalone Communities: A Review," Energies, MDPI, vol. 15(22), pages 1-28, November.
    14. Viktor Isanbaev & Raúl Baños & Fernando Martínez & Alfredo Alcayde & Consolación Gil, 2024. "Monitoring Energy and Power Quality of the Loads in a Microgrid Laboratory Using Smart Meters," Energies, MDPI, vol. 17(5), pages 1-10, March.
    15. Yong Cui & Anselme Andriamahery & Lie Ao & Jian Zheng & Zhiqiang Huo, 2022. "Analysis of Optimal Operation of Multi-Energy Alliance Based on Multi-Scale Dynamic Cost Equilibrium Allocation," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    16. M Vijayaragavan & V Krishnakumar & V Vasan Prabhu, 2023. "Energy management approach in electric vehicle with optimizing electricity consumption cost using hybrid method," Energy & Environment, , vol. 34(3), pages 663-689, May.
    17. Syed Zagam Abbas & Zulfiqar Ali & Anzar Mahmood & Syed Quosain Haider & Anila Kousar & Sohail Razzaq & Tehzeeb Ul Hassan & Chun-Lien Su, 2022. "Review of Smart Grid and Nascent Energy Policies: Pakistan as a Case Study," Energies, MDPI, vol. 15(19), pages 1-23, September.
    18. Nicoleta Cristina Gaitan & Ioan Ungurean & Ghenadie Corotinschi & Costica Roman, 2023. "An Intelligent Energy Management System Solution for Multiple Renewable Energy Sources," Sustainability, MDPI, vol. 15(3), pages 1-13, January.
    19. Mbungu, Nsilulu T. & Ismail, Ali A. & AlShabi, Mohammad & Bansal, Ramesh C. & Elnady, A. & Hamid, Abdul Kadir, 2023. "Control and estimation techniques applied to smart microgrids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    20. Rodriguez, Mauricio & Arcos–Aviles, Diego & Martinez, Wilmar, 2023. "Fuzzy logic-based energy management for isolated microgrid using meta-heuristic optimization algorithms," Applied Energy, Elsevier, vol. 335(C).

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