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Design and Simulation of an Energy Homeostaticity System for Electric and Thermal Power Management in a Building with Smart Microgrid

Author

Listed:
  • Antonio Parejo

    (Department of Electronic Technology, Escuela Politécnica Superior, University of Seville, Seville 41011, Spain)

  • Antonio Sanchez-Squella

    (Department of Electrical Engineering, Universidad Técnica Federico Santa María, Santiago 8940000, Chile)

  • Rodrigo Barraza

    (Department of Mechanical Engineering, Universidad Técnica Federico Santa María, Santiago 8940000, Chile)

  • Fernando Yanine

    (College of Engineering, Universidad Finis Terrae, Santiago 7500000, Chile)

  • Aldo Barrueto-Guzman

    (Department of Electrical Engineering, Universidad Técnica Federico Santa María, Santiago 8940000, Chile)

  • Carlos Leon

    (Department of Electronic Technology, Escuela Politécnica Superior, University of Seville, Seville 41011, Spain)

Abstract

Nowadays, microgrids are gaining importance in electric power generation and distribution environments due to their flexibility, versatility, scalability and the possibility of supplying ancillary services when connected to the grid. They allow for the customization of electric supply for very different types of consumers. Therefore, a new control model for power and energy management based on homeostaticity of electric power systems (EPS) is presented, which has been already analyzed and approved by ENEL Chile in its developmental stage. ENEL, the largest electric utility in the country, is interested in incorporating smart microgrids in the electricity distribution market, as part of a worldwide policy. Such microgrids are to be installed in buildings serviced by ENEL. To demonstrate the model’s utility, a Simulink model of a real microgrid is used, which is comprised of PV generation, energy storage, an air conditioning (AC) equipment and thermal storage of the building upon which the microgrid is installed. The behavior of every element is simulated, including the dynamic thermal model of the building in order to optimize energy management and power supply versus consumption. The behavior of the whole system is analyzed under different environmental profiles and energy consumption patterns using the proposed homeostaticity system.

Suggested Citation

  • Antonio Parejo & Antonio Sanchez-Squella & Rodrigo Barraza & Fernando Yanine & Aldo Barrueto-Guzman & Carlos Leon, 2019. "Design and Simulation of an Energy Homeostaticity System for Electric and Thermal Power Management in a Building with Smart Microgrid," Energies, MDPI, vol. 12(9), pages 1-19, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1806-:d:230494
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    References listed on IDEAS

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    1. Lund, Henrik & Andersen, Anders N. & Østergaard, Poul Alberg & Mathiesen, Brian Vad & Connolly, David, 2012. "From electricity smart grids to smart energy systems – A market operation based approach and understanding," Energy, Elsevier, vol. 42(1), pages 96-102.
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    4. Yanine, Fernando & Sanchez-Squella, Antonio & Barrueto, Aldo & Tosso, Joshua & Cordova, Felisa M. & Rother, Hans C., 2018. "Reviewing homeostasis of sustainable energy systems: How reactive and predictive homeostasis can enable electric utilities to operate distributed generation as part of their power supply services," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2879-2892.
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    Cited by:

    1. Fontenot, Hannah & Dong, Bing, 2019. "Modeling and control of building-integrated microgrids for optimal energy management – A review," Applied Energy, Elsevier, vol. 254(C).
    2. Fernando Yanine & Antonio Sánchez-Squella & Aldo Barrueto & Antonio Parejo & Felisa Cordova & Hans Rother, 2020. "Grid-Tied Distributed Generation Systems to Sustain the Smart Grid Transformation: Tariff Analysis and Generation Sharing," Energies, MDPI, vol. 13(5), pages 1-19, March.
    3. Jose Ulises Castellanos Contreras & Leonardo Rodríguez Urrego, 2023. "Technological Developments in Control Models Using Petri Nets for Smart Grids: A Review," Energies, MDPI, vol. 16(8), pages 1-21, April.
    4. Mukhopadhyay, Bineeta & Das, Debapriya, 2020. "Multi-objective dynamic and static reconfiguration with optimized allocation of PV-DG and battery energy storage system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    5. Diego Francisco Larios & Enrique Personal & Antonio Parejo & Sebastián García & Antonio García & Carlos Leon, 2020. "Operational Simulation Environment for SCADA Integration of Renewable Resources," Energies, MDPI, vol. 13(6), pages 1-37, March.

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