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An Interoperable Approach for Energy Systems Simulation: Electricity Market Participation Ontologies

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Listed:
  • Gabriel Santos

    (GECAD, Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Institute of Engineering, Polytechnic of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal)

  • Tiago Pinto

    (GECAD, Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Institute of Engineering, Polytechnic of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal)

  • Isabel Praça

    (GECAD, Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Institute of Engineering, Polytechnic of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal)

  • Zita Vale

    (GECAD, Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Institute of Engineering, Polytechnic of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal)

Abstract

Electricity markets are complex environments with very particular characteristics. Some of the main ones for this complexity are the need for an adequate integration of renewable energy sources and the electricity markets’ restructuring process. The growth of simulation tool usage is driven by the need to understand those mechanisms and how the involved players’ interactions affect the markets’ outcomes. Several modelling tools directed to the study of restructured wholesale electricity markets have emerged. Although, they share a common limitation: the lack of interoperability between the various systems to allow the exchange of information and knowledge, to test different market models and to allow players from different systems to interact in common market environments. This paper proposes the use of ontologies for semantic interoperability between multi-agent platforms in the scope of electricity markets simulation. The achieved results allow the identification of the added value gained by using the proposed ontologies. They facilitate the integration of independent multi-agent simulators, by providing a way for communications to be understood by heterogeneous agents from different systems.

Suggested Citation

  • Gabriel Santos & Tiago Pinto & Isabel Praça & Zita Vale, 2016. "An Interoperable Approach for Energy Systems Simulation: Electricity Market Participation Ontologies," Energies, MDPI, vol. 9(11), pages 1-22, October.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:11:p:878-:d:81500
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    References listed on IDEAS

    as
    1. Pinto, T. & Morais, H. & Oliveira, P. & Vale, Z. & Praça, I. & Ramos, C., 2011. "A new approach for multi-agent coalition formation and management in the scope of electricity markets," Energy, Elsevier, vol. 36(8), pages 5004-5015.
    2. Li, Hongyan & Tesfatsion, Leigh, 2009. "Development of Open Source Software for Power Market Research: The AMES Test Bed," ISU General Staff Papers 200901010800001391, Iowa State University, Department of Economics.
    3. Meeus, Leonardo & Purchala, Konrad & Belmans, Ronnie, 2005. "Development of the Internal Electricity Market in Europe," The Electricity Journal, Elsevier, vol. 18(6), pages 25-35, July.
    4. Santos, Gabriel & Pinto, Tiago & Praça, Isabel & Vale, Zita, 2016. "MASCEM: Optimizing the performance of a multi-agent system," Energy, Elsevier, vol. 111(C), pages 513-524.
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    Cited by:

    1. Roberto Casado-Vara & Zita Vale & Javier Prieto & Juan M. Corchado, 2018. "Fault-Tolerant Temperature Control Algorithm for IoT Networks in Smart Buildings," Energies, MDPI, vol. 11(12), pages 1-17, December.
    2. Gabriel Santos & Pedro Faria & Zita Vale & Tiago Pinto & Juan M. Corchado, 2020. "Constrained Generation Bids in Local Electricity Markets: A Semantic Approach," Energies, MDPI, vol. 13(15), pages 1-27, August.

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