• DocumentCode
    3263604
  • Title

    Computationally-efficient simulation of electric industrial plants

  • Author

    Butera, Pietro ; Casolino, Giovanni M. ; Russo, Mario

  • Author_Institution
    D.I.E.I. `Maurizio Scarano´, Univ. degli studi di Cassino e LM, Cassino, Italy
  • fYear
    2015
  • fDate
    10-13 June 2015
  • Firstpage
    1083
  • Lastpage
    1088
  • Abstract
    The validation of a power control system in industrial plants requires a modelling for simulation of the electric power system that is fairly accurate and computationally-efficient. The second aspect is particularly relevant if a real-time simulation is required. In this paper the classical models of the network and the induction motors are revised so as to allow an adequate trade-off between computational-efficiency and accuracy of the results. In particular, the model for the induction motors are improved to achieve an adequate accuracy in all the operating range; the network solution is improved to increase computational efficiency. Numerical simulations are presented to show the limited computational burden in simulating a large industrial plant, as well as the good accuracy of the results in comparison with the characteristics of actual machines.
  • Keywords
    induction motors; numerical analysis; power control; power system control; power system simulation; computational efficiency; computational-efficiency; computationally-efficient simulation; electric industrial plants; electric power system simulation; induction motors; numerical simulations; power control system; Computational modeling; Generators; Induction motors; Mathematical model; Rotors; Stators; Torque; Computationally-Efficient; Electric Industrial Plants; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4799-7992-9
  • Type

    conf

  • DOI
    10.1109/EEEIC.2015.7165316
  • Filename
    7165316