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Computer Tools for Modelling and Evaluating the Potential of Energy Storage Systems with Reference to the Greek Islands Case

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Power, Control and Optimization

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 239))

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Abstract

In the effort to meet climate change targets the share of renewable energy in electricity market has to be increased. The augmented penetration of renewable sources in the electricity grids could be destabilizing and may create barriers to their future expansion. Energy storage technologies are being regarded as a potential solution to deal with the intermittent nature of renewable energy sources. Introduction of energy storage systems in a future Smart Grid is definitely a complex problem and requires the technological analysis of the energy system itself. The purpose of this paper is to present an up-to-date critical examination of the state of the art of different computer tools that can be used to analyse the integration of energy storage systems utilized in conjunction with distributed generation. Particular emphasis is given to the case of isolated Greek islands.

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Authors and Affiliations

  1. Department of Industrial Management and Technology, University of Piraeus, Piraeus, Greece

    Christos Sbiliris & Vassilis Dedoussis

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  1. Christos Sbiliris
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  2. Vassilis Dedoussis
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Correspondence to Christos Sbiliris .

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Editors and Affiliations

  1. Computer Science VŠB-TUO, Department of Computer Science, Faculty of Electrical Engineering and, 17. listopadu 15, Ostrava-Poruba, 708 33, Czech Republic

    Ivan Zelinka

  2. , Department of Fundamental and, University Technology Petronas, Tronoh, 31750, Malaysia

    Pandian Vasant

  3. , Engineering and Information Technology, University Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400, Malaysia

    Nader Barsoum

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Sbiliris, C., Dedoussis, V. (2013). Computer Tools for Modelling and Evaluating the Potential of Energy Storage Systems with Reference to the Greek Islands Case. In: Zelinka, I., Vasant, P., Barsoum, N. (eds) Power, Control and Optimization. Lecture Notes in Electrical Engineering, vol 239. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00206-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-00206-4_3

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  • Publisher Name: Springer, Heidelberg

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  • Online ISBN: 978-3-319-00206-4

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