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Distributed Multi-agent Based Energy Management of Smart Micro-grids: Autonomous Participation of Agents in Power Imbalance Handling

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Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection (PAAMS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 887))

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Abstract

Micro-grids are known as a means of localization of renewable energy production and consumption. However, due to the intermittent nature of renewable energy sources, one of the main challenges in Micro-grid energy control and management is to handle any deviation from the prior forecasted power generation/consumption. Our proposed distributed multi-agent algorithm tries to handle power imbalance situations in a PV-based grid connected Micro-grid through optimizing a combination of storage usage, load curtailment, and main grid power purchase. In this model, the users’ consumption preferences are considered as an important factor in the decision making. We first devise a community of consumers with various energy usage preferences and then investigate the performance of our proposed algorithm over multiple scenarios having different users’ reactions to the energy conservation requests. The results obtained show the convergence and feasibility of the proposed algorithm. Moreover, the cost of imbalance handling is considerably reduced, preserving the level of satisfaction in the community, as the inconvenience effect of load curtailment is compensated by paying back to the consumers.

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Author information

Authors and Affiliations

  1. Institute of Computer Science and Business Information Systems, University of Duisburg-Essen, Essen, Germany

    Sajad Ghorbani & Rainer Unland

  2. Swinburne University of Technology, Melbourne, Australia

    Roozbeh Morsali & Ryszard Kowalczyk

  3. Department of Information Systems, Poznan University of Economics, Poznan, Poland

    Rainer Unland

  4. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Ryszard Kowalczyk

Authors
  1. Sajad Ghorbani
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  2. Roozbeh Morsali
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  3. Rainer Unland
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  4. Ryszard Kowalczyk
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Corresponding author

Correspondence to Sajad Ghorbani .

Editor information

Editors and Affiliations

  1. Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  2. Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain

    Juan M. Corchado

  3. Departamento de Sistemas Informáticos, University of Castilla-La Mancha, Albacete, Spain

    Elena MarĂ­a Navarro MartĂ­nez

  4. TECNALIA, Derio, Spain

    Eneko Osaba Icedo

  5. Lille University of Science and Technology, Villeneuve d’Ascq, France

    Philippe Mathieu

  6. Poznan University of Technology, Poznan, Poland

    Patrycja Hoffa-DÄ…browska

  7. Polytechnic University of Valencia, Valencia, Spain

    Elena del Val

  8. Faculté des Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada

    Sylvain Giroux

  9. University of Porto, Porto, Portugal

    Antonio J.M. Castro

  10. Rio de Janeiro State University, Rio de Janeiro, Brazil

    Nayat Sánchez-Pi

  11. Polytechnic University of Valencia, Valencia, Spain

    Vicente Julián

  12. Informatica e Estatistica, Universidade Federal de Santa Catar, Florianopolis, Santa Catarina, Brazil

    Ricardo Azambuja Silveira

  13. Universidad Rey Juan Carlos, MĂłstoles, Madrid, Spain

    Alberto Fernández

  14. ICB, Universität Duisburg-Essen, Essen, Germany

    Rainer Unland

  15. Facultad de Informática, Universidad Complutense de Madrid, Madrid, Spain

    Rubén Fuentes-Fernández

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Ghorbani, S., Morsali, R., Unland, R., Kowalczyk, R. (2018). Distributed Multi-agent Based Energy Management of Smart Micro-grids: Autonomous Participation of Agents in Power Imbalance Handling. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Communications in Computer and Information Science, vol 887. Springer, Cham. https://doi.org/10.1007/978-3-319-94779-2_28

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  • DOI: https://doi.org/10.1007/978-3-319-94779-2_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94778-5

  • Online ISBN: 978-3-319-94779-2

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