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Fuzzy-Based Optimal Integration of Multiple Distributed Generations

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Applications of Fuzzy Logic in Planning and Operation of Smart Grids

Part of the book series: Power Systems ((POWSYS))

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Abstract

This chapter introduces an important multiobjective optimization strategy based on the algorithm of whale optimization (MOWOA) and fuzzy decision-making for efficient integration of several distributed generations (DGs) into radial distribution networks (RDNs). The optimum allocation of DGs to RDNs is applied to minimize power losses and voltage deviation (VD) and to optimize the voltage stability index (VSI) at the same time. The compromise solution of the optimum size and location of DGs is reached based on a fuzzy decision-making process. The MOWOA algorithm is approved using the IEEE radial distribution: 33- and 69-buses. The performance of the MOWOA is assessed by a detailed analysis with other competitive optimization techniques. The results indicate that the MOWOA with the fuzzy decision-making is successful in assigning a minimum power loss and convergence rates into the DGs allocation problem.

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Acknowledgments

The authors thank the support of the National Research and Development Agency of Chile (ANID), ANID/Fondap/15110019.

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Authors and Affiliations

  1. Department of Electrical Engineering, University of Jaén, Jaén, Spain

    Ali Selim & Francisco Jurado

  2. Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, Egypt

    Ali Selim & Salah Kamel

Authors
  1. Ali Selim
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  2. Salah Kamel
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  3. Francisco Jurado
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Corresponding author

Correspondence to Francisco Jurado .

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Editors and Affiliations

  1. State University of New York, Buffalo State, NY, USA

    Mehdi Rahmani-Andebili

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Selim, A., Kamel, S., Jurado, F. (2021). Fuzzy-Based Optimal Integration of Multiple Distributed Generations. In: Rahmani-Andebili, M. (eds) Applications of Fuzzy Logic in Planning and Operation of Smart Grids. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-64627-1_1

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  • DOI: https://doi.org/10.1007/978-3-030-64627-1_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64626-4

  • Online ISBN: 978-3-030-64627-1

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