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Artificial Intelligence Techniques for Optimal Power Flow

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Soft Computing Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 357))

Abstract

Nowadays, there is a huge interest in developing new approaches for power system-related problem solving. Generally, (meta)heuristic search methods are considered a good alternative to conventional ones. This paper aims to elaborate an original mathematical model focused on genetic algorithms (GA). Several practical issues are presented. Further, it is intended to be used for transmission expansion planning.

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Acknowledgment

This work was partially supported by the strategic grant POSDRU/159/1.5/S/137070 (2014) of the Ministry of National Education, Romania, cofinanced by the European Social Fund—Investing in People, within the Sectoral Operational Program Human Resources Development 2007–2013.

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Authors and Affiliations

  1. Politehnica University of Timisoara, Timișoara, Romania

    C. Barbulescu, S. Kilyeni, A. Simo & C. Oros

Authors
  1. C. Barbulescu
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  2. S. Kilyeni
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  3. A. Simo
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  4. C. Oros
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Corresponding author

Correspondence to C. Barbulescu .

Editor information

Editors and Affiliations

  1. Department of Automation and Applied Informatics, Aurel Vlaicu University of Arad Faculty of Engineering, Arad, Romania

    Valentina Emilia Balas

  2. Faculty of Science and Technology, Data Science Institute, Bournemouth University, Poole, United Kingdom

    Lakhmi C. Jain

  3. University of Belgrade, Belgrade, Serbia

    Branko Kovačević

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© 2016 Springer International Publishing Switzerland

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Barbulescu, C., Kilyeni, S., Simo, A., Oros, C. (2016). Artificial Intelligence Techniques for Optimal Power Flow. In: Balas, V., Jain, L., Kovačević, B. (eds) Soft Computing Applications. Advances in Intelligent Systems and Computing, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-319-18416-6_101

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  • DOI: https://doi.org/10.1007/978-3-319-18416-6_101

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18415-9

  • Online ISBN: 978-3-319-18416-6

  • eBook Packages: EngineeringEngineering (R0)

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