Self-organizing neural-based fuzzy controller for transient stability of multimachine power systems using flywheel battery

Author

Wang, M.H. ; Hung, C.P.

Author_Institution

Dept. of Electr. Eng., Nat. Chin-Yi Inst. of Technol., Taichung, Taiwan

Volume

3

fYear

2003

fDate

20-24 July 2003

Firstpage

2118

Abstract

In this paper, a self-organizing fuzzy neural network controller (SOFNC) is design for high-speed flywheel energy storage system (FESS) to improve the transient stability and increase transfer capability of power systems. The main feature over traditional control approach lies in the model-free description of control system and parallel computing capability. Simulation results in Taiwan power system (Taipower) show that the FESS with the proposed controller has produced significant improvement in the power system performance.

Keywords

control system synthesis; controllers; flywheels; fuzzy control; fuzzy neural nets; power system control; power system transient stability; self-adjusting systems; FESS; SOFNC; Taiwan power system; flywheel battery; flywheel energy storage system; multimachine power systems transient stability; power system performance; power systems capability; self-organizing fuzzy neural network controller; Batteries; Control systems; Flywheels; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Power system modeling; Power system simulation; Power system stability; Power system transients;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2003. Proceedings of the International Joint Conference on

ISSN

1098-7576

Print_ISBN

0-7803-7898-9

Type

conf

DOI

10.1109/IJCNN.2003.1223735

Filename

1223735