• DocumentCode
    1955186
  • Title

    ANN based Z-bus loss allocation for pool dispatch in deregulated power system

  • Author

    Arunachalam, S. ; Babu, M. Ramesh ; Mohanadasse, K. ; Ramamoorthy, S.

  • Author_Institution
    St. Joseph´´s Coll. of Eng., Chennai
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    This paper presents a procedure for ANN based Z-bus loss allocation for pool dispatch in a deregulated power system. The procedure is based on the network Z-bus matrix; although all required computations exploit the sparse Y-bus matrix. One innovative feature of ANN based Z-bus loss allocation is that, it exploits the full set of network equations and does not require any simplifying assumptions. ANN based Z-bus loss allocation is based on a solved load flow and is easily understood and implemented. Most independent system variables can be used as inputs to the neural network which in turn makes the Z-bus loss allocation process responsive to practical situations. Training and testing of this network have been done with the help of a five bus test system. Numerical examples on ANN based Z-bus loss allocation using a feed forward back propagation algorithm has been provided. A trained ANN for loss allocation requires only operational data to calculate the loss allocation at any instant
  • Keywords
    backpropagation; electricity supply industry deregulation; feedforward neural nets; impedance matrix; load flow; losses; power generation dispatch; power system analysis computing; sparse matrices; transmission networks; ANN; Z-bus loss allocation; deregulated power system; feed forward back propagation algorithm; impedance-admittance matrix; load flow; network Z-bus matrix; neural network; pool dispatch; sparse Y-bus matrix; training; transmission loss; Artificial neural networks; Computer networks; Equations; Feeds; Load flow; Neural networks; Power systems; Propagation losses; Sparse matrices; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power India Conference, 2006 IEEE
  • Conference_Location
    New Delhi
  • Print_ISBN
    0-7803-9525-5
  • Type

    conf

  • DOI
    10.1109/POWERI.2006.1632578
  • Filename
    1632578