Probabilistic model for distributed generation expansion in distribution power network

Authors

  • C. Ponce-Corral Author
  • H. Bludszuweit Author
  • J.A. Domínguez-Navarro Author

DOI:

https://doi.org/10.24084/repqj09.652

Abstract

In this paper a probabilistic model is presented to optimize the expansion of distributed generation in the electricity distribution network. The Monte Carlo technique is used to obtain probability distributions of the desired variables, such as: power flows, output power of distributed generators, costs, etc. The analysis of the results leads to optimized criteria for the expansion of distributed generation (DG) in distribution networks.

Author Biographies

  • C. Ponce-Corral

    Institute of Engineering and Technology, UACJ (Universidad Autónoma de Ciudad Juárez)

    Henri Dunant #4016, Zona Pronaf, Ciudad Juárez, México, C.P. 32310

    Phone number:+52 656 6882100, e-mail: carlosponce481@hotmail.com

  • H. Bludszuweit

    Electrical Engineering Division, CIRCE Foundation

    C/ Mariano Esquillor Gómez, 15, 50018 Zaragoza (Spain)

    Phone number: +34 976 76 1000 ext. 5184, e-mail: hblud@unizar.es

  • J.A. Domínguez-Navarro

    Department of Electrical Engineering, C.P.S., University of Zaragoza

    Campus Río Ebro – C/ María de Luna, 3, 50018 Zaragoza (Spain)

    Phone number:+34 976 762401, e-mail: jadona@unizar.es

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Published

2024-01-17

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Section

Articles