Title :
Particle swarm optimization based load model parameter identification
Author :
Kim, Young-Gon ; Song, Hwachang ; Kim, Hong Rae ; Lee, Byongjun
Author_Institution :
Dept. of Electr. Eng., Seoul Nat. Univ. of Technol., Seoul, South Korea
Abstract :
This paper presents a method for estimating the parameters of dynamic models for induction motor dominating loads. Using particle swarm optimization, the method finds the adequate set of parameters that best fit the sampling data from the measurement for a period of time, minimizing the error of the outputs, active and reactive power demands and satisfying the steady-state error criterion.
Keywords :
induction motors; parameter estimation; particle swarm optimisation; induction motor; load model parameter identification; particle swarm optimization; reactive power demands; steady-state error criterion; dynamic load model; parameter estimation; particle swarm optimization; system identification;
Conference_Titel :
Power and Energy Society General Meeting, 2010 IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-6549-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2010.5589394
