Title :
Decentralized power system voltage control using artificial neural networks
Author_Institution :
Dept. of Electr. Eng., Meiji Univ., Kawasaki, Japan
Abstract :
Proposes an artificial neural-net-based method for controlling nodal voltage in power systems. The nodal voltages are controlled in a decentralized way due to the local characteristics of the problem. A decentralized scheme for voltage control is proposed with artificial neural networks. The proposed method allows alleviation of the curse of dimensionality in power systems and makes the computation more efficient. The proposed method has been tested in a 30-node system in terms of computational effort
Keywords :
decentralised control; neural nets; power system computer control; voltage control; artificial neural networks; computational effort; decentralized control; dimensionality; local characteristics; multi-node system; nodal voltage; power system voltage control; power systems; Artificial neural networks; Control systems; Linear programming; Load flow; Multilayer perceptrons; Power system control; Power system dynamics; Power system security; Power systems; Voltage control;
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
DOI :
10.1109/ISCAS.1992.230348
