IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i17p5316-d623080.html
   My bibliography  Save this article

Approach to an Emulation Model to Evaluate the Behavior and Impact of Microgrids in Isolated Communities

Author

Listed:
  • Carlos M. Paredes

    (Departamento de Automática y Electrónica, Universidad Autónoma de Occidente, Cali 760030, Colombia)

  • Andrés F. Bayona

    (Departamento de Automática y Electrónica, Universidad Autónoma de Occidente, Cali 760030, Colombia)

  • Diego Martínez

    (Departamento de Automática y Electrónica, Universidad Autónoma de Occidente, Cali 760030, Colombia)

  • Alfons Crespo

    (Departamento de Informática de Sistemas y Computadores, Universidad Politécnica de Valencia, 46022 Valencia, Spain)

  • Apolinar González

    (Facultad de Ingeniería Mecánica y Eléctrica, Universidad de Colima, Colima 28400, Mexico)

  • José Simo

    (Departamento de Informática de Sistemas y Computadores, Universidad Politécnica de Valencia, 46022 Valencia, Spain)

Abstract

In microgrid projects, social ownership involves aspects beyond their operation that may compromise the sustainability of the system. For this reason, the development of analysis methods to assess the feasibility and impact during the design stages of these solutions is of growing interest. Recent studies have proposed methods that allow an individual analysis of technological components and social behaviors. However, a complete evaluation of the performance and the impact of these projects should allow the simultaneous evaluation of the behavior of these subsystems, allowing the analysis of their interactions and effects in a dynamic way. Accordingly, this paper presents simulation and emulation models to evaluate the impact of a microgrid in isolated communities. These models contemplate sublevels that consider the energetic, automation and computational aspects in the microgrids and a multi-agent system (MAS) that is used to study the environmental and economic impact of the microgrid through the evolution of certain indicators. The socio-technological interdependence in the operation of the isolated microgrid is analyzed through the integration of the microgrid emulation platform with the MAS. Our approach includes a comprehensive study of the performance of these projects in specific communities, in order to contribute to the design and implementation, considering the technological, economic, environmental, and social impacts.

Suggested Citation

  • Carlos M. Paredes & Andrés F. Bayona & Diego Martínez & Alfons Crespo & Apolinar González & José Simo, 2021. "Approach to an Emulation Model to Evaluate the Behavior and Impact of Microgrids in Isolated Communities," Energies, MDPI, vol. 14(17), pages 1-34, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5316-:d:623080
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/17/5316/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/17/5316/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter Roopnarine, 2013. "Ecology and the Tragedy of the Commons," Sustainability, MDPI, vol. 5(2), pages 1-25, February.
    2. Adefarati, T. & Bansal, R.C., 2019. "Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources," Applied Energy, Elsevier, vol. 236(C), pages 1089-1114.
    3. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, April.
    4. Palmer, J. & Sorda, G. & Madlener, R., 2015. "Modeling the diffusion of residential photovoltaic systems in Italy: An agent-based simulation," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 106-131.
    5. Groppi, D. & Astiaso Garcia, D. & Lo Basso, G. & De Santoli, L., 2019. "Synergy between smart energy systems simulation tools for greening small Mediterranean islands," Renewable Energy, Elsevier, vol. 135(C), pages 515-524.
    6. Claudia Rahmann & Oscar Núñez & Felipe Valencia & Susana Arrechea & Jalel Sager & Daniel Kammen, 2016. "Methodology for Monitoring Sustainable Development of Isolated Microgrids in Rural Communities," Sustainability, MDPI, vol. 8(11), pages 1-24, November.
    7. Gamarra, Carlos & Guerrero, Josep M., 2015. "Computational optimization techniques applied to microgrids planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 413-424.
    8. Ortega-Arriaga, P. & Babacan, O. & Nelson, J. & Gambhir, A., 2021. "Grid versus off-grid electricity access options: A review on the economic and environmental impacts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    Full references (including those not matched with items on IDEAS)

    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. Mohseni, Soheil & Brent, Alan C. & Burmester, Daniel, 2020. "A comparison of metaheuristics for the optimal capacity planning of an isolated, battery-less, hydrogen-based micro-grid," Applied Energy, Elsevier, vol. 259(C).
    2. Marc Deissenroth & Martin Klein & Kristina Nienhaus & Matthias Reeg, 2017. "Assessing the Plurality of Actors and Policy Interactions: Agent-Based Modelling of Renewable Energy Market Integration," Complexity, Hindawi, vol. 2017, pages 1-24, December.
    3. Fabian Zuñiga-Cortes & Eduardo Caicedo-Bravo & Juan D. Garcia-Racines, 2023. "Reference Framework Based on a Two-Stage Strategy for Sizing and Operational Management in Electrical Microgrid Planning," Sustainability, MDPI, vol. 15(19), pages 1-27, October.
    4. Kim, Sunwoo & Choi, Yechan & Park, Joungho & Adams, Derrick & Heo, Seongmin & Lee, Jay H., 2024. "Multi-period, multi-timescale stochastic optimization model for simultaneous capacity investment and energy management decisions for hybrid Micro-Grids with green hydrogen production under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 190(PA).
    5. Luís de Sousa & Alberto Rodrigues da Silva, 2015. "Showcasing a Domain Specific Language for Spatial Simulation Scenarios with case studies," ERSA conference papers ersa15p1044, European Regional Science Association.
    6. Eugenio Caverzasi & Antoine Godin, 2013. "Stock-flow Consistent Modeling through the Ages," Economics Working Paper Archive wp_745, Levy Economics Institute.
    7. Luca Riccetti & Alberto Russo & Mauro Gallegati, 2015. "An agent based decentralized matching macroeconomic model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 305-332, October.
    8. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    9. Michael J. Radzicki, 2003. "Mr. Hamilton, Mr. Forrester, and a Foundation for Evolutionary Economics," Journal of Economic Issues, Taylor & Francis Journals, vol. 37(1), pages 133-173, March.
    10. Kazuya Yamamoto, 2015. "Mobilization, Flexibility of Identity, and Ethnic Cleavage," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(2), pages 1-8.
    11. Dirk Helbing & Thomas U. Grund, 2013. "Editorial: Agent-Based Modeling And Techno-Social Systems," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(04n05), pages 1-3.
    12. Ross Richardson & Matteo G. Richiardi & Michael Wolfson, 2015. "We ran one billion agents. Scaling in simulation models," LABORatorio R. Revelli Working Papers Series 142, LABORatorio R. Revelli, Centre for Employment Studies.
    13. Roberto Veneziani & Luca Zamparelli & Michalis Nikiforos & Gennaro Zezza, 2017. "Stock-Flow Consistent Macroeconomic Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 31(5), pages 1204-1239, December.
    14. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-32.
    15. Khalil, Elias L., 2010. "The Bayesian fallacy: Distinguishing internal motivations and religious beliefs from other beliefs," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 268-280, August.
    16. Jakub Bijak & Jason D. Hilton & Eric Silverman & Viet Dung Cao, 2013. "Reforging the Wedding Ring," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(27), pages 729-766.
    17. Antoine Boche & Clément Foucher & Luiz Fernando Lavado Villa, 2022. "Understanding Microgrid Sustainability: A Systemic and Comprehensive Review," Energies, MDPI, vol. 15(8), pages 1-29, April.
    18. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    19. Joshua M. Epstein, 2007. "Agent-Based Computational Models and Generative Social Science," Introductory Chapters, in: Generative Social Science Studies in Agent-Based Computational Modeling, Princeton University Press.
    20. Rich, Karl M. & Ross, R. Brent & Baker, A. Derek & Negassa, Asfaw, 2011. "Quantifying value chain analysis in the context of livestock systems in developing countries," Food Policy, Elsevier, vol. 36(2), pages 214-222, April.

    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:14:y:2021:i:17:p:5316-:d:623080. 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.