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Optimal Reconfiguration of an Algerian Distribution Network in Presence of a Wind Turbine Using Genetic Algorithm

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Artificial Intelligence in Renewable Energetic Systems (ICAIRES 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 35))

Abstract

In this paper a Genetic Algorithm (GA) method based on graphs theory is proposed to determine the distribution network reconfiguration in presence of wind turbine based DG considering all technical and topological constraints. The objective function considered in this study is the minimization of real power loss. A detailed performance analysis is applied on (33 bus, 69 bus and 84 bus networks) to illustrate the effectiveness of the proposed method. Then this method was validated on Algerian distribution network (116 bus).

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Author information

Authors and Affiliations

  1. Algerian Distribution Electricity and Gas Company, Blida, Algeria

    Mustafa Mosbah

  2. LACoSERE Laboratory, Department of Electrical Engineering, Amar Telidji University of Laghouat, Laghouat, Algeria

    Mustafa Mosbah & Salem Arif

  3. Department of Electrical Engineering, University of Djelfa, Djelfa, Algeria

    Ridha Djamel Mohammedi

  4. Department of Mathematics, Faculty of Sciences and Humanities, Prince Sattam Bin Abdul-Aziz university, Aflaj, Saudi Arabia

    Rabie Zine

Authors
  1. Mustafa Mosbah
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  2. Salem Arif
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  3. Ridha Djamel Mohammedi
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  4. Rabie Zine
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Corresponding author

Correspondence to Mustafa Mosbah .

Editor information

Editors and Affiliations

  1. EPST-CDER, UDES, Unité de Développement des Equipements Solaires, Bou Ismaïl, Algeria

    Mustapha Hatti

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Mosbah, M., Arif, S., Mohammedi, R.D., Zine, R. (2018). Optimal Reconfiguration of an Algerian Distribution Network in Presence of a Wind Turbine Using Genetic Algorithm. In: Hatti, M. (eds) Artificial Intelligence in Renewable Energetic Systems. ICAIRES 2017. Lecture Notes in Networks and Systems, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-319-73192-6_41

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  • DOI: https://doi.org/10.1007/978-3-319-73192-6_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73191-9

  • Online ISBN: 978-3-319-73192-6

  • eBook Packages: EngineeringEngineering (R0)

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