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A Data-Driven Architecture for Smart Renewable Energy Microgrids in Non-Interconnected Zones: A Colombian Case Study

Author

Listed:
  • Ramón Fernando Colmenares-Quintero

    (Engineering Research Institute (In 3 ), Universidad Cooperativa de Colombia, Calle 50A No. 41-34, Medellín 050001, Colombia)

  • Gina Maestre-Gongora

    (Faculty of Engineering, Universidad Cooperativa de Colombia, Calle 50A No. 41-34, Medellín 050001, Colombia)

  • Oscar Camilo Valderrama-Riveros

    (Engineering Research Institute (In 3 ), Universidad Cooperativa de Colombia, Calle 10 No. 1-64, Ibagué 730001, Colombia)

  • Marieth Baquero-Almazo

    (Engineering Research Institute (In 3 ), Universidad Cooperativa de Colombia, Calle 50A No. 41-34, Medellín 050001, Colombia)

  • Kim E. Stansfield

    (VoCATE Ltd., 2 Fountain Place, Worcester WR1 3HW, UK)

Abstract

Implementing smart microgrids for Non-Interconnected Zones (NIZs) has become an alternative solution to provide electrical energy by taking advantage of the resources available through the generation of renewable energy within these isolated areas. Within this context, in this study, the challenges related to microgrids and data analysis are presented, and different relevant data architectures described in the literature are compared. This paper focuses on the design of a data architecture for a smart microgrid for NIZs whose microgrid contains two 260 W solar panels, a 480 W inverter, and two 260 Ah batteries. Regarding the Colombian context, this paper describes the limitations (connectivity, isolation, appropriation of technologies) and opportunities (low demand, access to natural resources, state interest) from which the functional and non-functional requirements for the architecture are established. Finally, a data architecture is proposed and implemented in a NIZ in Colombia, and this paper also includes a description of the architecture, its characteristics, its associated opportunities and challenges, and discussions regarding its implementation.

Suggested Citation

  • Ramón Fernando Colmenares-Quintero & Gina Maestre-Gongora & Oscar Camilo Valderrama-Riveros & Marieth Baquero-Almazo & Kim E. Stansfield, 2023. "A Data-Driven Architecture for Smart Renewable Energy Microgrids in Non-Interconnected Zones: A Colombian Case Study," Energies, MDPI, vol. 16(23), pages 1-15, December.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7900-:d:1293512
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