Title :
Application of artificial intelligence techniques to obtain robust dynamic equivalents
Author :
Garcia-Valle, Rodrigo ; Ramirez, Juan M.
Author_Institution :
Dept. of Electron. & Electr. Eng., Glasgow Univ., UK
Abstract :
This paper presents an application of artificial neural networks (ANN) to power systems. ANN are tested to construct dynamic equivalents, which is considered a hard task in the context of power systems. The main objective is to reproduce the complex voltage at frontier nodes. The simulation results prove the applicability and robustness of this innovative approach.
Keywords :
electric power generation; neurocontrollers; power system control; power system simulation; robust control; ANN; artificial intelligence; artificial neural networks; complex voltage reproduction; electric power systems; frontier nodes; robust dynamic equivalents; simulation; Artificial intelligence; Artificial neural networks; Humans; Power system dynamics; Power system modeling; Power system planning; Power system simulation; Power system stability; Power system transients; Robustness;
Conference_Titel :
Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004 7th Seminar on
Print_ISBN :
0-7803-8547-0
DOI :
10.1109/NEUREL.2004.1416531
