American Journal of Neural Networks and Applications

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BPSO Applied to TNEP Considering Adequacy Criterion

Received: 10 November 2017    Accepted: 19 January 2018    Published: 30 January 2018
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Abstract

Different methods have been proposed to solve the static transmission network expansion planning (STNEP) problem up to now. But in all of these studies, loading of transmission lines has not been studied using binary particle swarm optimization (BPSO) algorithm. BPSO is a good optimization method to solve nonlinear large-scale problems with discrete variables like STNEP. Thus, in this paper, STNEP problem is being studied considering network adequacy criterion using BPSO. The goal of this paper is obtaining a configuration for network expansion with lowest expansion cost and a specific adequacy. The proposed idea has been tested on the Garvers network. The results show that the network will possess maximum efficiency economically.

DOI 10.11648/j.ajnna.20180401.11
Published in American Journal of Neural Networks and Applications (Volume 4, Issue 1, June 2018)
Page(s) 1-7
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

BPSO, Adequacy Criterion, STNEP

References
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Author Information
  • Department of Electrical Engineering, S?o Paulo State University, Ilha Solteira, Brazil

  • Department of Electrical Engineering, University of Zanjan, Zanjan, Iran

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  • APA Style

    Meisam Mahdavi, Amir Bagheri. (2018). BPSO Applied to TNEP Considering Adequacy Criterion. American Journal of Neural Networks and Applications, 4(1), 1-7. https://doi.org/10.11648/j.ajnna.20180401.11

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    ACS Style

    Meisam Mahdavi; Amir Bagheri. BPSO Applied to TNEP Considering Adequacy Criterion. Am. J. Neural Netw. Appl. 2018, 4(1), 1-7. doi: 10.11648/j.ajnna.20180401.11

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    AMA Style

    Meisam Mahdavi, Amir Bagheri. BPSO Applied to TNEP Considering Adequacy Criterion. Am J Neural Netw Appl. 2018;4(1):1-7. doi: 10.11648/j.ajnna.20180401.11

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  • @article{10.11648/j.ajnna.20180401.11,
      author = {Meisam Mahdavi and Amir Bagheri},
      title = {BPSO Applied to TNEP Considering Adequacy Criterion},
      journal = {American Journal of Neural Networks and Applications},
      volume = {4},
      number = {1},
      pages = {1-7},
      doi = {10.11648/j.ajnna.20180401.11},
      url = {https://doi.org/10.11648/j.ajnna.20180401.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajnna.20180401.11},
      abstract = {Different methods have been proposed to solve the static transmission network expansion planning (STNEP) problem up to now. But in all of these studies, loading of transmission lines has not been studied using binary particle swarm optimization (BPSO) algorithm. BPSO is a good optimization method to solve nonlinear large-scale problems with discrete variables like STNEP. Thus, in this paper, STNEP problem is being studied considering network adequacy criterion using BPSO. The goal of this paper is obtaining a configuration for network expansion with lowest expansion cost and a specific adequacy. The proposed idea has been tested on the Garvers network. The results show that the network will possess maximum efficiency economically.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - BPSO Applied to TNEP Considering Adequacy Criterion
    AU  - Meisam Mahdavi
    AU  - Amir Bagheri
    Y1  - 2018/01/30
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    DO  - 10.11648/j.ajnna.20180401.11
    T2  - American Journal of Neural Networks and Applications
    JF  - American Journal of Neural Networks and Applications
    JO  - American Journal of Neural Networks and Applications
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    PB  - Science Publishing Group
    SN  - 2469-7419
    UR  - https://doi.org/10.11648/j.ajnna.20180401.11
    AB  - Different methods have been proposed to solve the static transmission network expansion planning (STNEP) problem up to now. But in all of these studies, loading of transmission lines has not been studied using binary particle swarm optimization (BPSO) algorithm. BPSO is a good optimization method to solve nonlinear large-scale problems with discrete variables like STNEP. Thus, in this paper, STNEP problem is being studied considering network adequacy criterion using BPSO. The goal of this paper is obtaining a configuration for network expansion with lowest expansion cost and a specific adequacy. The proposed idea has been tested on the Garvers network. The results show that the network will possess maximum efficiency economically.
    VL  - 4
    IS  - 1
    ER  - 

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