A new model for optimal electricity distribution planning based on fuzzy set techniques

  1. Ramirez-Rosado, I.J. 1
  2. Dominguez-Navarro, J.A. 2
  3. Yusta-Loyo, J.M. 2
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  2. 2 Universidad de Zaragoza
    info

    Universidad de Zaragoza

    Zaragoza, España

    ROR https://ror.org/012a91z28

Libro:
1999 IEEE Power Engineering Society Summer Meeting, PES 1999 - Conference Proceedings

ISBN: 0780355695,  9780780355699

Año de publicación: 1999

Volumen: 2

Páginas: 1048-1054

Tipo: Capítulo de Libro

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DOI: 10.1109/PESS.1999.787461 SCOPUS: 2-s2.0-85015533087 GOOGLE SCHOLAR

Objetivos de desarrollo sostenible

Resumen

The new possibilistic planning model of this paper allows for modelling the uncertainty of the data, corresponding to the long term distribution networks planning, using distributions of possibility. Thus, the possibilistic model includes the influence of the range of the future demand scenarios in each planning solution. The application of this model to real life distribution systems has been carried out using an original algorithm, based on the "Tabu Search" technique, that achieves satisfactory solutions in acceptable CPU times for large distribution networks. The computational results also indicate that this planning model achieves solutions with more robustness than the classic deterministic models, also obtaining lower distribution systems expansion costs. © 1999 IEEE.