Title :
Power system dynamic load identification and stability
Author :
Zhu, S.Z. ; Dong, Z.Y. ; Wong, K.P. ; Wang, Z.H.
Author_Institution :
Tsinghua Univ., Beijing, China
Abstract :
Proper power system load models are playing more important roles in power system stability analysis in today´s stressed power systems. Different load models may cause a large difference in stability analytical results. Measurement based load modeling gives a closer look at the real power system loads and their dynamic characteristics. In this paper, genetic algorithms and evolutionary programming based system identification is used to locate the best available parameters for proper load modeling based on real field test data taken in North China
Keywords :
genetic algorithms; load (electric); power system parameter estimation; power system stability; North China; evolutionary programming; genetic algorithms; load modeling; load models; power system dynamic load identification; power system load models; power system stability analysis; stability; stressed power systems; system identification; Genetic algorithms; Genetic programming; Load modeling; Power measurement; Power system analysis computing; Power system dynamics; Power system measurements; Power system modeling; Power system stability; Stability analysis;
Conference_Titel :
Power System Technology, 2000. Proceedings. PowerCon 2000. International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-6338-8
DOI :
10.1109/ICPST.2000.900024
