Title :
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
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;
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
DOI :
10.1109/ANN.1993.264295
