Title :
Application of AI techniques to monitoring of transformers and optimal allocation of FACTS in power systems
Author :
Germond, Alain J.
Author_Institution :
Ecole Polytech. Fed. de Lausanne, Switzerland
Abstract :
The first part of the presentation is a brief survey of unsupervised neural network models and the use of self-organizing maps in the real-time monitoring of power transformers. The second part discusses the application of genetic algorithms in a complex optimisation problem: the allocation and parameters of FACTS devices in a power transmission system.
Keywords :
flexible AC transmission systems; genetic algorithms; monitoring; power transformer testing; power transmission control; self-organising feature maps; unsupervised learning; AI techniques; FACTS allocation optimisation; complex optimisation problem; genetic algorithms; power transmission system; self-organizing maps; transformer monitoring; unsupervised neural network models; Artificial intelligence; Genetic algorithms; Mathematical model; Monitoring; Neural networks; Neurons; Power system modeling; Power system simulation; Power systems; Transformers;
Conference_Titel :
Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES
Print_ISBN :
0-7803-7525-4
DOI :
10.1109/TDC.2002.1178508
