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Lévy Strategy Based Metaheuristic for Smart Grid

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Metaheuristics for Production Systems

Part of the book series: Operations Research/Computer Science Interfaces Series ((ORCS,volume 60))

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Abstract

Various events such as the difficulty of constructing new transport’s axes or natural phenomena encourage the Managers of the power systems to operate in their boundary conditions. It results in some unbalanced distribution of loads, provoking thus overloads of some and a reduction of the stability margin of the electrical system. FACTS (Flexible Alternative Current Transmission System ) allow to control transits of potencies in an uninterrupted manner on a network. In this paper, we address the optimal placement and sizing of FACTS problem. We demonstrated that by choosing carefully the number of FACTS, their type, their location in the network and their sizing we perform very well the security of the power grid. In other hand, the results show that Lévy Particle Swarm Optimization (PSO) is demonstrated to perform as well, or better, than a standard PSO.

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Authors and Affiliations

  1. Laboratoire LISSI, 122 Rue P. Armangot, 94400, Vitry sur Seine, France

    Boussaad Ismail, Amir Nakib, Heliodore Frederic & Patrick Siarry

  2. Alstom Grid, Immeuble Galilée, 51 Esplanade du Général de Gaulle, 92907, La Defense, France

    Boussaad Ismail, Amir Nakib, Heliodore Frederic & Patrick Siarry

Authors
  1. Boussaad Ismail
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  2. Amir Nakib
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  3. Heliodore Frederic
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  4. Patrick Siarry
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Corresponding author

Correspondence to Amir Nakib .

Editor information

Editors and Affiliations

  1. CRISTAL Laboratory, Lille 1 University, Villeneuve d'Ascq, France

    El-Ghazali Talbi

  2. LOSI Laboratory, University of Technology of Troyes, Troyes, France

    Farouk Yalaoui

  3. LOSI Laboratory, University of Technology of Troyes, Troyes, France

    Lionel Amodeo

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Ismail, B., Nakib, A., Frederic, H., Siarry, P. (2016). Lévy Strategy Based Metaheuristic for Smart Grid. In: Talbi, EG., Yalaoui, F., Amodeo, L. (eds) Metaheuristics for Production Systems. Operations Research/Computer Science Interfaces Series, vol 60. Springer, Cham. https://doi.org/10.1007/978-3-319-23350-5_6

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