Reduction of Electrical Losses’ Analysis on Distribution Systems with Distributed Generation and Energy Storage Systems

Authors

  • N.M. Neto Author
  • M. R. C. Albertini Author
  • W. B. De Melo Author
  • M. V. B. Mendonça Author
  • A. J. P. R. Júnior Author
  • F. A. M. Moura Author
  • J. R. Camacho Author

DOI:

https://doi.org/10.24084/repqj17.279

Keywords:

Technical losses, energy storage system, distributed generation, artificial neural network, openDSS

Abstract

The  increasing  use  of  distributed  generation  inthe  Electric  Power  Systems  has  brought  these  several  problems, since the controllers of these systems must take into account one more variable for any decisions. Within this context, there was a special emphasis on the use of electric energy storage systems to reduce  losses,  with  the  allocation  of  them  as  a  load  at  the  over-generation  points  and  to  reduce  system  losses  at  peak  demand points.   This   article   presents   an   analysis   of   the   distributed generation to compare the electrical losses using electrical energy storage.   The   technique   used   to   estimate   the   electric   energy generation  of  a  photovoltaic  system  in  one  day,  according  to temperature  and  irradiation data, was  the  application of  artificial neural  networks.  Thus,  the  storage  element  appropriate  to  the demand and generation levels was first defined and the OpenDSS tool  was  used  to  perform  the  study  of  the  load  flow  and  to measure the effect of the use of these storage systems in the IEEE 37  bus  network.  Using  energy  storage  in  this  application  has proved to be advantageous, reducing the losses of active power at the peaks and reducing over-generation during the day, measured as crucial for the future of the distribution.

Author Biographies

  • N.M. Neto

    Electrical Engineering Department, Universidade Federal do Triângulo Mineiro, Uberaba - Minas Gerais, Brazil

  • M. R. C. Albertini

     Electrical Engineering Department, Universidade Federal do Triângulo Mineiro, Uberaba - Minas Gerais, Brazil 

  • W. B. De Melo

    Electrical Engineering Department, Universidade Federal do Triângulo Mineiro, Uberaba - Minas Gerais, Brazil

  • M. V. B. Mendonça

    Electrical Engineering Department, Universidade Federal do Triângulo Mineiro, Uberaba - Minas Gerais, Brazil

  • A. J. P. R. Júnior

    Electrical Engineering Department, Universidade Federal do Triângulo Mineiro, Uberaba - Minas Gerais, Brazil 

  • F. A. M. Moura

    Electrical Engineering Department, Universidade Federal do Triângulo Mineiro, Uberaba - Minas Gerais, Brazil 

  • J. R. Camacho

    Electrical Engineering Faculty, Universidade Federal de Uberlândia, Uberlândia - Minas Gerais, Brazil

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Published

2024-01-12

Issue

Section

Articles