• DocumentCode
    3313544
  • Title

    Distribution System Losses Evaluation by ANN Approach

  • Author

    Leal, A.G. ; Jardini, J.A. ; Magrini, L.C. ; Ahn, S.U. ; Schmidt, H.P. ; Casolari, R.P.

  • Author_Institution
    Electr. Power & Autom. Eng. Dept., Sao Paulo Univ.
  • fYear
    2006
  • fDate
    Oct. 29 2006-Nov. 1 2006
  • Firstpage
    1658
  • Lastpage
    1662
  • Abstract
    The aim of this paper is to propose a methodology based on the artificial neural network technique in order to evaluate losses in distribution systems. The losses are calculated for each segment involved in the distribution system (secondary and primary network, distribution transformers, HV/MV transformers). This is done by using the network´s data, the consumer´s monthly energy consumption data and the typical load curves by class of consumer and type of activity developed. The results of a case study related to an existing distribution system and the main advantages of the proposed methodology, are also presented
  • Keywords
    distribution networks; energy consumption; losses; neural nets; power engineering computing; power transformers; ANN; HV-MV transformers; artificial neural network technique; distribution networks; distribution system losses evaluation; distribution transformers; energy consumption; load curves; power transformer losses; Aggregates; Artificial neural networks; Automation; Electrical equipment industry; Energy consumption; Low voltage; Neural networks; Power distribution; Power transformers; Probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference and Exposition, 2006. PSCE '06. 2006 IEEE PES
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    1-4244-0177-1
  • Electronic_ISBN
    1-4244-0178-X
  • Type

    conf

  • DOI
    10.1109/PSCE.2006.296161
  • Filename
    4075987