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Conference on Creativity in Intelligent Technologies and Data Science

CIT&DS 2019: Creativity in Intelligent Technologies and Data Science pp 334–343Cite as

Modeling a Microgrid Using Fuzzy Cognitive Maps

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1083))

Abstract

The energy problem is among the most important issues in the global community over the last decades. Worldwide researchers have focused their attention and work to the increased use of renewable energy sources as a solution to the greenhouse effect. The reduction of the emitted pollutants, as well as managing, controlling and saving energy, are key research items. This paper attempts to cover part of the load of the studied microgrid, which consists of three buildings of the University of Patras using the method of Fuzzy Cognitive Maps. The goal is using renewable energy sources to cover 20% of their total load, aiming to decongest the network at peak times.

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Author information

Authors and Affiliations

  1. Electrical and Computer Engineering Department, University of Patras, 26500, Rion, Greece

    Vassiliki Mpelogianni, George Kosmas & Peter P. Groumpos

Authors
  1. Vassiliki Mpelogianni
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  2. George Kosmas
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  3. Peter P. Groumpos
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Corresponding author

Correspondence to Peter P. Groumpos .

Editor information

Editors and Affiliations

  1. CAD & Research Department, Volgograd State Technical University, Volgograd, Russia

    Alla G. Kravets

  2. Electrical and Computer Engineering, University of Patras, Rion, Patras, Greece

    Peter P. Groumpos

  3. Volgograd State Technical University, Volgograd, Russia

    Maxim Shcherbakov

  4. Volgograd State Technical University, Volgograd, Russia

    Marina Kultsova

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Mpelogianni, V., Kosmas, G., Groumpos, P.P. (2019). Modeling a Microgrid Using Fuzzy Cognitive Maps. In: Kravets, A., Groumpos, P., Shcherbakov, M., Kultsova, M. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2019. Communications in Computer and Information Science, vol 1083. Springer, Cham. https://doi.org/10.1007/978-3-030-29743-5_27

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  • DOI: https://doi.org/10.1007/978-3-030-29743-5_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29742-8

  • Online ISBN: 978-3-030-29743-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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