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

Volume

1

fYear

2000

fDate

2000

Firstpage

13

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power System Technology, 2000. Proceedings. PowerCon 2000. International Conference on

Conference_Location

Perth, WA

Print_ISBN

0-7803-6338-8

Type

conf

DOI

10.1109/ICPST.2000.900024

Filename

900024