Structural control based on genetic algorithm and neural network for electric power systems

Author

Ishigame, Atsushi ; Takagi, Yasuhiro ; Kawamoto, Shunji ; Taniguchi, Tsuneo ; Tanaka, Hiroyuki

Author_Institution

Dept. of Electr. Eng., Univ. of Osaka Prefecture, Sakai, Japan

fYear

1993

fDate

1993

Firstpage

169

Lastpage

174

Abstract

This paper presents a method of structural control of electric power networks for improving their stability. The method is based on the FACTS concept, a genetic algorithm and neural network. FACTS equipment will provide some new ways for improving stability by controlling the reactance of transmission lines in terms of structure control of the power network. A case study with a multimachine power system is presented and discussed.

Keywords

genetic algorithms; neural nets; optimal control; power system computer control; power system stability; power transmission lines; FACTS; flexible AC transmission systems; genetic algorithm; multimachine power system; neural network; power system computer control; reactance; stability; structural control; transmission lines; Circuit breakers; Control systems; Eigenvalues and eigenfunctions; Flexible AC transmission systems; Genetic algorithms; Neural networks; Optimal control; Power system stability; Power transmission lines; Static VAr compensators;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of

Conference_Location

Yokohama, Japan

Print_ISBN

0-7803-1217-1

Type

conf

DOI

10.1109/ANN.1993.264295

Filename

264295