Improvement of multi-machine power system stability by variable series capacitor (VSrC)

Author

Senjyu, Tomonobu ; Yamane, Shohtaro ; Uezato, Katsumi

Author_Institution

Fac. of Eng., Ryukyus Univ., Okinawa, Japan

Volume

1

fYear

1999

fDate

31 Jan-4 Feb 1999

Firstpage

628

Abstract

This paper presents a control technique of the variable series capacitor (VSrC) using a neural network (NN). The NN trains the dynamics of the fuzzy controller proposed by the authors. Therefore the NN can improve power system stability without load angle information with a difficult measurement. The training signals for the NN are obtained by the optimum fuzzy controller searched by genetic algorithm (GA). The effectiveness of this control method is verified by simulation results of a multi-machine power system

Keywords

control system analysis; control system synthesis; flexible AC transmission systems; fuzzy control; genetic algorithms; neurocontrollers; power capacitors; power system stability; power transmission control; variable structure systems; control design; control effectiveness; control simulation; control technique; genetic algorithm; multimachine power system stability improvement; neural network; optimum fuzzy controller; training signals; variable series capacitor; Capacitors; Fuzzy control; Genetic algorithms; Neural networks; Power measurement; Power system control; Power system dynamics; Power system measurements; Power system simulation; Power system stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Society 1999 Winter Meeting, IEEE

Conference_Location

New York, NY

Print_ISBN

0-7803-4893-1

Type

conf

DOI

10.1109/PESW.1999.747528

Filename

747528