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Overview of Real-Time Simulation as a Supporting Effort to Smart-Grid Attainment

Author

Listed:
  • Luis Ibarra

    (Tecnológico de Monterrey, Calle del Puente 222, Tlalpan 14380, Mexico)

  • Antonio Rosales

    (Tecnológico de Monterrey, Calle del Puente 222, Tlalpan 14380, Mexico)

  • Pedro Ponce

    (Tecnológico de Monterrey, Calle del Puente 222, Tlalpan 14380, Mexico)

  • Arturo Molina

    (Tecnológico de Monterrey, Calle del Puente 222, Tlalpan 14380, Mexico)

  • Raja Ayyanar

    (School of Electrical Computer and Energy Engineering, Arizona State University, Tempe 85287-5706, Arizona)

Abstract

The smart-grid approach undergoes many difficulties regarding the strategy that will enable its actual implementation. In this paper, an overview of real-time simulation technologies and their applicability to the smart-grid approach are presented as enabling steps toward the smart-grid’s actual implementation. The objective of this work is to contribute with an introductory text for interested readers of real-time systems in the context of modern electric needs and trends. In addition, a comprehensive review of current applications of real-time simulation in electric systems is provided, together with the basis to understand real-time simulation and the topologies and hardware used to implement it. Furthermore, an overview of the evolution of real-time simulators in the industrial and academic background and its current challenges are introduced.

Suggested Citation

  • Luis Ibarra & Antonio Rosales & Pedro Ponce & Arturo Molina & Raja Ayyanar, 2017. "Overview of Real-Time Simulation as a Supporting Effort to Smart-Grid Attainment," Energies, MDPI, vol. 10(6), pages 1-24, June.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:6:p:817-:d:101707
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    References listed on IDEAS

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    1. Zhou, Bin & Li, Wentao & Chan, Ka Wing & Cao, Yijia & Kuang, Yonghong & Liu, Xi & Wang, Xiong, 2016. "Smart home energy management systems: Concept, configurations, and scheduling strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 30-40.
    2. Good, Nicholas & Ellis, Keith A. & Mancarella, Pierluigi, 2017. "Review and classification of barriers and enablers of demand response in the smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 57-72.
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    Cited by:

    1. Ignacio Llanez-Caballero & Luis Ibarra & Angel Peña-Quintal & Glendy Catzín-Contreras & Pedro Ponce & Arturo Molina & Ricardo Ramirez-Mendoza, 2023. "The “Smart” Concept from an Electrical Sustainability Viewpoint," Energies, MDPI, vol. 16(7), pages 1-22, March.
    2. Paweł Szcześniak & Iwona Grobelna & Mateja Novak & Ulrik Nyman, 2021. "Overview of Control Algorithm Verification Methods in Power Electronics Systems," Energies, MDPI, vol. 14(14), pages 1-20, July.
    3. Moiz Muhammad & Holger Behrends & Stefan Geißendörfer & Karsten von Maydell & Carsten Agert, 2021. "Power Hardware-in-the-Loop: Response of Power Components in Real-Time Grid Simulation Environment," Energies, MDPI, vol. 14(3), pages 1-20, January.
    4. Juan R. Lopez & Jose de Jesus Camacho & Pedro Ponce & Brian MacCleery & Arturo Molina, 2022. "A Real-Time Digital Twin and Neural Net Cluster-Based Framework for Faults Identification in Power Converters of Microgrids, Self Organized Map Neural Network," Energies, MDPI, vol. 15(19), pages 1-25, October.
    5. Matthias Stifter & Jose Cordova & Jawad Kazmi & Reza Arghandeh, 2018. "Real-Time Simulation and Hardware-in-the-Loop Testbed for Distribution Synchrophasor Applications," Energies, MDPI, vol. 11(4), pages 1-21, April.
    6. Juan Roberto López Gutiérrez & Pedro Ponce & Arturo Molina, 2021. "Real-Time Power Electronics Laboratory to Strengthen Distance Learning Engineering Education on Smart Grids and Microgrids," Future Internet, MDPI, vol. 13(9), pages 1-16, September.
    7. Ali Elkamel, 2018. "Energy Production Systems," Energies, MDPI, vol. 11(10), pages 1-4, September.

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