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International Workshop on Soft Computing Models in Industrial and Environmental Applications

SOCO 2022: 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) pp 62–71Cite as

Python-Based Ecosystem for Agent Communities Simulation

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 531))

Abstract

This paper presents an innovative multi-agent ecosystem framework designed to simulate various energy communities and smart grids while providing an easy and practical solution to manage and control each simulation. This framework allows the coexistence of various multi-agent systems and provides tools to enable the management of the ecosystem and its agents. The framework also provides a web application programming interface that allows the management to use third-party’s software. The proposed framework was based on the Smart Python Agent Development Environment (SPADE) framework. Finally, this paper presents a case study that simulates an energy community with 50 members. The case study evaluates the community’s energy bill by comparing a scenario without battery energy storage systems with a scenario where storage systems are available for some members of the community. The case study uses real storage units that are integrated into the proposed system and used for simulation.

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Acknowledgments

This work has received funding from FEDER Funds through COMPETE program and from National Funds through (FCT) under the project PRECISE (PTDC/EEI-EEE/6277/2020). The authors acknowledge the work facilities and equipment provided by GECAD research center (UIDB/00760/2020) to the project team.

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Authors and Affiliations

  1. GECAD—Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Polytechnic of Porto, 4200-072, Porto, Portugal

    Bruno Ribeiro, Helder Pereira, Luis Gomes & Zita Vale

Authors
  1. Bruno Ribeiro
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  2. Helder Pereira
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  3. Luis Gomes
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  4. Zita Vale
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Corresponding author

Correspondence to Bruno Ribeiro .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Pablo García Bringas

  2. University of León, León, Spain

    Hilde Pérez García

  3. Mechanical Engineering Department, University of La Rioja, Logroño, La Rioja, Spain

    Francisco Javier Martinez-de-Pison

  4. Inteligencia Artificial, University of Oviedo, A Coruña, La Coruña, Spain

    José Ramón Villar Flecha

  5. Data Science and Big Data Lab, Pablo de Olavide University, Sevilla, Spain

    Alicia Troncoso Lora

  6. University of Oviedo, Oviedo, Spain

    Enrique A. de la Cal

  7. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Álvaro Herrero

  8. School of engineering, Pablo Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  9. DIGIP, University of Bergamo, Dalmine, Bergamo, Italy

    Giuseppe Psaila

  10. Department of Industrial Engineering, University of A Coruña, Ferrol, Spain

    Héctor Quintián

  11. Department of Computing Science, University of Salamanca, Salamanca, Spain

    Emilio S. Corchado Rodriguez

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Ribeiro, B., Pereira, H., Gomes, L., Vale, Z. (2023). Python-Based Ecosystem for Agent Communities Simulation. In: García Bringas, P., et al. 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022). SOCO 2022. Lecture Notes in Networks and Systems, vol 531. Springer, Cham. https://doi.org/10.1007/978-3-031-18050-7_7

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