Title :
Power System Stability Enhancement Using ANN Based Coordinated Emergency Control System
Author :
Etingov, Pavel ; Oudalov, Alexandre ; Voropai, Nikolai ; Cherkaoui, Rachid ; Germond, Alain
Author_Institution :
Energy Syst. Inst., Irkutsk
Abstract :
The paper presents an emergency control system based on the artificial neural network (ANN) technique. The control system is able to find a coordinated control action (load shedding, generator tripping) to prevent the violation of power system stability. Besides, the coordination of FACTS with conventional emergency control actions is studied. A 14 bus test power system is used as a case study. The efficiency of the proposed technique has been proved by numerical simulations under different power system operating conditions and for different emergency situations. The results obtained are presented.
Keywords :
flexible AC transmission systems; neural nets; power engineering computing; power system stability; power transmission control; ANN; FACTS; artificial neural network; coordinated control action; coordinated emergency control system; generator tripping; load shedding; power system stability enhancement; Artificial neural networks; Control systems; Costs; Load flow; Power generation; Power system reliability; Power system simulation; Power system stability; Power system transients; Power transmission lines; Artificial Neural Network; Emergency Control; FACTS; Transient Stability;
Conference_Titel :
Power Tech, 2007 IEEE Lausanne
Conference_Location :
Lausanne
Print_ISBN :
978-1-4244-2189-3
Electronic_ISBN :
978-1-4244-2190-9
DOI :
10.1109/PCT.2007.4538322
