Title :
Nonlinear dynamic load modelling: model and parameter estimation
Author :
Ju, P. ; Handschin, E. ; Karlsson, D.
Author_Institution :
Dept. of Electr. Eng., Hohai Univ., Nanjing, China
fDate :
11/1/1996 12:00:00 AM
Abstract :
This paper is devoted to nonlinear dynamic modelling of electric loads. A composite dynamic-static model proposed by P. Ju et.al. (see Control and Decision, vol.4, no.2, p.20-3, 1989) is further developed. This model represents both dynamic and static load characteristics. Meanwhile, it includes the effect of voltage angle on transient active power. The second contribution of this paper is to provide a parameter estimation approach using genetic algorithms. This new approach is proven to be simple yet powerful
Keywords :
genetic algorithms; load (electric); nonlinear dynamical systems; parameter estimation; power system transients; power systems; composite dynamic-static model; dynamic load characteristics; electric loads; genetic algorithms; nonlinear dynamic load modelling; parameter estimation; static load characteristics; transient active power; voltage angle effect; Genetic algorithms; Induction motors; Load modeling; Parameter estimation; Power system modeling; Power system planning; Power system security; Stability; System testing; Voltage;
Journal_Title :
Power Systems, IEEE Transactions on
