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Active Distribution Networks and Smart Grids: Optimal Allocation of Wind Turbines by Using Hybrid GA and Multi-Period OPF

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Computational Intelligence Systems in Industrial Engineering

Part of the book series: Atlantis Computational Intelligence Systems ((ATLANTISCIS,volume 6))

Abstract

The increasing penetration of Renewable Energy Sources (RES) in distribution electrical networks will require a deep revision of the planning and management methodologies for distribution electrical networks. Indeed, the current passive distribution networks, characterized by unidirectional power flows and a partial and centralized control, do not allow optimally managing of RES, therefore limiting their exploitation. Consequently, the gradual increase of Distributed Generation (DG) penetration, especially of renewable type, will determine a deep change in existing electrical distribution networks that will evolve from passive to active networks and smart grids. In order to overcome the integration problems of DG and RES, active networks and smart grids will be managed through systems based on Information and Communication Technology (ICT). In this chapter a hybrid optimization method that aims at maximizing the Net Present Value related to the investment made by Wind Turbines developers in an active distribution network and smart grids is proposed. The proposed method combines a Genetic Algorithm with a multi-period optimal power flow. The method is demonstrated on a 69-bus 11 kV radial distribution network.

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Authors and Affiliations

  1. Department of Industrial Engineering, University of Salerno, Ponte don Melillo 1, Fisciano, SA, Italy

    P. Siano & A. Piccolo

  2. Department of Engineering, Harper Adams University College, Shropshire, TF10 8NB, UK

    G. Rigatos

Authors
  1. P. Siano
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  2. G. Rigatos
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  3. A. Piccolo
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Corresponding author

Correspondence to P. Siano .

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Editors and Affiliations

  1. Fac. Management, Dept. Industrial Engineering, Istanbul Technical University, Campus Macka, Istanbul, 34367, Turkey

    Cengiz Kahraman

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Siano, P., Rigatos, G., Piccolo, A. (2012). Active Distribution Networks and Smart Grids: Optimal Allocation of Wind Turbines by Using Hybrid GA and Multi-Period OPF. In: Kahraman, C. (eds) Computational Intelligence Systems in Industrial Engineering. Atlantis Computational Intelligence Systems, vol 6. Atlantis Press, Paris. https://doi.org/10.2991/978-94-91216-77-0_27

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  • DOI: https://doi.org/10.2991/978-94-91216-77-0_27

  • Publisher Name: Atlantis Press, Paris

  • Print ISBN: 978-94-91216-76-3

  • Online ISBN: 978-94-91216-77-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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