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An Agent-Based Approach for the Planning of Distribution Grids as a Socio-Technical System

Author

Listed:
  • Luciano Cavalcante Siebert

    (Department of Intelligent Systems, Delft University of Technology, 2628 XE Delft, The Netherlands
    Department of Electrical Engineering, Federal University of Paraná, Curitiba 82590-300, Brazil)

  • Alexandre Rasi Aoki

    (Department of Electrical Engineering, Federal University of Paraná, Curitiba 82590-300, Brazil)

  • Germano Lambert-Torres

    (Gnarus Institute, Itajubá 37500-052, Brazil)

  • Nelson Lambert-de-Andrade

    (Gnarus Institute, Itajubá 37500-052, Brazil)

  • Nikolaos G. Paterakis

    (Department of Electrical Engineering, Eindhoven University of Technology, 5600MB Eindhoven, The Netherlands)

Abstract

Recent developments, such as smart metering, distributed energy resources, microgrids, and energy storage, have led to an exponential increase in system complexity and have emphasized the need to include customer behavior and social and cultural backgrounds in planning activities. This paper analyzes how emergent behavior in electricity consumption can affect the planning of distribution grids with a smart grid vision. For this, an agent-based model that uses insights from the field of behavioral economics to differentiate four consumer categories (high income, low income, middle class, and early adopters) was used. The model was coupled with a real distribution feeder and customer load curve data, and the results showed that heterogeneity of customer’s preferences, values, and behavior led to very distinct load growth patterns. The results emphasize the relevance of modeling customer’s behavioral aspects in planning increasingly complex power systems.

Suggested Citation

  • Luciano Cavalcante Siebert & Alexandre Rasi Aoki & Germano Lambert-Torres & Nelson Lambert-de-Andrade & Nikolaos G. Paterakis, 2020. "An Agent-Based Approach for the Planning of Distribution Grids as a Socio-Technical System," Energies, MDPI, vol. 13(18), pages 1-13, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4837-:d:414393
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    References listed on IDEAS

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    Cited by:

    1. Sebastian Hoffmann & Fabian Adelt & Johannes Weyer, 2020. "Modelling End-User Behavior and Behavioral Change in Smart Grids. An Application of the Model of Frame Selection," Energies, MDPI, vol. 13(24), pages 1-26, December.
    2. Bruno Silva Torres & Luiz Eduardo Borges da Silva & Camila Paes Salomon & Carlos Henrique Valério de Moraes, 2022. "Integrating Smart Grid Devices into the Traditional Protection of Distribution Networks," Energies, MDPI, vol. 15(7), pages 1-28, March.
    3. Joao Soares & Bruno Canizes & Zita Vale, 2021. "Rethinking the Distribution Power Network Planning and Operation for a Sustainable Smart Grid and Smooth Interaction with Electrified Transportation," Energies, MDPI, vol. 14(23), pages 1-4, November.
    4. Nastaran Gholizadeh & Petr Musilek, 2021. "Distributed Learning Applications in Power Systems: A Review of Methods, Gaps, and Challenges," Energies, MDPI, vol. 14(12), pages 1-18, June.

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