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International Conference on Intelligent Data Engineering and Automated Learning

IDEAL 2020: Intelligent Data Engineering and Automated Learning – IDEAL 2020 pp 64–76Cite as

A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12489))

Abstract

In this paper, Neural Network Algorithm is employed for simultaneous placing and sizing Distributed Generators and Shunt Capacitors Banks in distribution network to minimize active power loss and improve the voltage profile. The NNA is a novel developed optimizer based on the concept of artificial neural networks which benefits from its unique structure and search operators for solving complex optimization problems. The difficulty of tuning the initial parameters and trapping in local optima is eliminated in the proposed optimizer. The capability and effectiveness of the proposed algorithm are evaluated on IEEE 69-bus distribution system with considering nine cases and the results are compared with previous published methods. Simulation outcomes of the recommended algorithm are assessed and compared with those attained by Genetic Algorithms, Grey Wolf Optimizer, and Water Cycle Algorithm. The analysis of these results is conclusive in regard to the superiority of the proposed algorithm.

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Acknowledgments

J. Del Ser and E. Osaba would like to thank the Spanish Centro para el Desarrollo Tecnologico Industrial (CDTI, Ministry of Science and Innovation) through the “Red Cervera” Programme (AI4ES project), as well as by the Basque Government through EMAITEK and ELKARTEK (ref. 3KIA) funding grants. J. Del Ser also acknowledges funding support from the Department of Education of the Basque Government (Consolidated Research Group MATHMODE, IT1294-19).

Author information

Authors and Affiliations

  1. Materials and Energy Research Center, Dezful Branch, Islamic Azad University, Dezful, Iran

    Mohammad Nasir

  2. Department of Mechanical Engineering, University of Science and Culture, Tehran, Iran

    Ali Sadollah

  3. TECNALIA, Basque Research and Technology Alliance (BRTA), 48160, Derio, Spain

    Eneko Osaba

  4. University of the Basque Country (UPV/EHU), 48013, Bilbao, Spain

    Javier Del Ser

Authors
  1. Mohammad Nasir
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  2. Ali Sadollah
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  3. Eneko Osaba
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  4. Javier Del Ser
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Corresponding author

Correspondence to Ali Sadollah .

Editor information

Editors and Affiliations

  1. University of Minho, Braga, Portugal

    Cesar Analide

  2. University of Minho, Braga, Portugal

    Paulo Novais

  3. Technical University of Madrid, Madrid, Spain

    David Camacho

  4. University of Manchester, Manchester, UK

    Hujun Yin

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Nasir, M., Sadollah, A., Osaba, E., Del Ser, J. (2020). A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks. In: Analide, C., Novais, P., Camacho, D., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2020. IDEAL 2020. Lecture Notes in Computer Science(), vol 12489. Springer, Cham. https://doi.org/10.1007/978-3-030-62362-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-62362-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62361-6

  • Online ISBN: 978-3-030-62362-3

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