• DocumentCode
    1234699
  • Title

    Artificial neural networks as static equivalent networks

  • Author

    Muller, V. ; Nelles, D.

  • Author_Institution
    Inst. of Electr. Power Supply, Univ. of Kaiserslautern
  • Volume
    152
  • Issue
    1
  • fYear
    2005
  • Firstpage
    61
  • Lastpage
    66
  • Abstract
    To calculate the load flow in energy supply systems, the influence of all external networks that are connected to the internal network has to be considered. Normally, an exact consideration is not practicable because no exact data of the external network, such as the actual switching status or the actual load and generation situation, are known. It is therefore common practice to reduce the external networks to equivalent networks. These equivalents are able to reproduce the influence of the external network approximately
  • Keywords
    equivalent circuits; load flow; neural nets; power system analysis computing; artificial neural networks; energy supply systems; external network approximately; load flow; static equivalent networks; switching status;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:20040827
  • Filename
    1393419