Comparing Newton with ANN for load flow

  • Authors:

  • J. Bilbao;E. Bravo

  • Affiliations:

  • Applied Mathematics Department, University of the Basque Country, Bilbao, Spain;Applied Mathematics Department, University of the Basque Country, Bilbao, Spain

  • Venue:
  • Math'04 Proceedings of the 5th WSEAS International Conference on Applied Mathematics
  • Year:
  • 2004

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Abstract

In most power system studies, a major part of the problem is the finding of the voltages needed to meet a given schedule of loads and generation. Until now, iteration methods have been used to calculate the respective load flows. This paper presents a study to compare Newton method and sparse matrices with artificial neural networks regarding a load flow problem in electric distribution lines.