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Modelling Interconnected Renewable Electricity Systems

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Sustainable Energy for Smart Cities (SESC 2019)

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Abstract

This paper addresses the long-term power planning in interconnected system with high renewable share. A case close to the Portuguese electricity system was modeled to assess the relevance of the interconnection with Spain in future scenarios. The results show that the increase on the renewable energy share will lead to a higher total cost of the system mainly due to investment costs. On the other hand, CO2 emissions will be significantly reduced for each scenario in question. Another significant result is that the increase on renewable power, will lead to an excess of electricity production mainly during winter. For a 100% renewable scenario, the importance of interconnection is demonstrated, in particular, for the summer months for which importation can compensate the reduction of wind and hydropower output.

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Acknowledgement

This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020.

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Authors and Affiliations

  1. Centro ALGORITMI, University of Minho, Campus Azurém, 4800-058, Guimarães, Portugal

    Paula Ferreira

  2. School of Engineering, University of Minho, Campus Azurém, 4800-058, Guimarães, Portugal

    Elizabete Pereira

Authors
  1. Paula Ferreira
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  2. Elizabete Pereira
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Corresponding author

Correspondence to Paula Ferreira .

Editor information

Editors and Affiliations

  1. Department of Industrial Electronics, University of Minho, Guimaraes, Portugal

    João L. Afonso

  2. Department of Industrial Electronics, University of Minho, Guimaraes, Portugal

    Vítor Monteiro

  3. Department of Industrial Electronics, University of Minho, Guimaraes, Portugal

    José Gabriel Pinto

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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ferreira, P., Pereira, E. (2020). Modelling Interconnected Renewable Electricity Systems. In: Afonso, J., Monteiro, V., Pinto, J. (eds) Sustainable Energy for Smart Cities. SESC 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 315. Springer, Cham. https://doi.org/10.1007/978-3-030-45694-8_11

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  • DOI: https://doi.org/10.1007/978-3-030-45694-8_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45693-1

  • Online ISBN: 978-3-030-45694-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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