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Semantic Interoperability for Multiagent Simulation and Decision Support in Power Systems

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Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection (PAAMS 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1472))

Abstract

Electricity markets are complex and dynamic environments with very particular characteristics. Ambitious goals, including those set by the European Union, foster the increased use of distributed generation, essentially based on renewable energy sources. This requires major changes in electricity markets and energy systems, namely through the adoption of the smart grid paradigm. The use of simulation tools and the study of different market mechanisms and the relationships between their stakeholders are essential. One of the main challenges in this area is developing decision support tools to address the problem as a whole. This work contributes to increasing interoperability between heterogeneous systems, namely agent-based, directed to the study of electricity markets, the operation of smart grid, and energy management. To this end, this work proposes the use of ontologies to ease the interaction between entities of different natures and the use of semantic web technologies to develop more intelligent and flexible tools. A multiagent systems society, composed of several heterogeneous multiagent systems, which interact using the proposed ontologies, is presented as a proof-of-concept.

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Notes

  1. 1.

    https://itea3.org/project/seas.html.

  2. 2.

    https://www.w3.org/wiki/RdfSyntax.

  3. 3.

    https://www.w3.org/TR/ld-bp/.

  4. 4.

    https://www.modbus.org/.

  5. 5.

    https://www.w3.org/Submission/OWL-S/.

  6. 6.

    http://www.gecad.isep.ipp.pt/AAMAS2021-Tutorial-CPMAS/mascd/1.0/register-brp.ttl.

  7. 7.

    http://www.gecad.isep.ipp.pt/AAMAS2021-Tutorial-CPMAS/mascd/1.0/energy-balance.ttl.

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Acknowledgments

The authors would like to acknowledge the support of the Fundação para a Ciência e a Tecnologia (FCT) through the Ph.D. studentship SFRH/BD/118487/2016 and the project CEECIND/01811/2017.

Funding

This work was supported by the MAS-Society Project co-funded by Portugal 2020 Fundo Europeu de Desenvolvimento Regional (FEDER) through PO CI and under grant UIDB/00760/2020.

Author information

Authors and Affiliations

  1. GECAD Research Group, Porto, Portugal

    Gabriel Santos & Tiago Pinto

  2. Institute of Engineering, Polytechnic of Porto, Porto, Portugal

    Gabriel Santos, Tiago Pinto & Zita Vale

  3. BISITE Research Group, University of Salamanca, Salamanca, Spain

    Juan M. Corchado

Authors
  1. Gabriel Santos
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  2. Tiago Pinto
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  3. Zita Vale
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  4. Juan M. Corchado
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Corresponding author

Correspondence to Tiago Pinto .

Editor information

Editors and Affiliations

  1. University of Salamanca, Salamanca, Spain

    Fernando De La Prieta

  2. German University in Cairo, New Cairo City, Egypt

    Alia El Bolock

  3. University of Minho, Braga, Portugal

    Dalila Durães

  4. Polytechnic Institute of Porto, ISEP, Porto, Portugal

    João Carneiro

  5. National Laboratory of Energy and Geology, Lisbon, Portugal

    Fernando Lopes

  6. Polytechnic University of Valencia, Valencia, Valencia, Spain

    Vicente Julian

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Santos, G., Pinto, T., Vale, Z., Corchado, J.M. (2021). Semantic Interoperability for Multiagent Simulation and Decision Support in Power Systems. In: De La Prieta, F., El Bolock, A., Durães, D., Carneiro, J., Lopes, F., Julian, V. (eds) Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Communications in Computer and Information Science, vol 1472. Springer, Cham. https://doi.org/10.1007/978-3-030-85710-3_18

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  • DOI: https://doi.org/10.1007/978-3-030-85710-3_18

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