DocumentCode :
2315414
Title :
Power Systems Voltage Stability Using Artificial Neural Network
Author :
Khaldi, Mohamad R.
Author_Institution :
Dept. of Electr. Eng., Univ. of Balamand, Tripoli
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
1
Lastpage :
6
Abstract :
The steady-state operation of maintaining voltage stability is done by switching various controllers scattered all over the network. When a contingency occurs, whether forced or unforced, the dispatcher is to alleviate the problem in a minimum time, cost, and effort. Persistent problem may lead to blackout. The dispatcher is to have the appropriate switching of controllers in terms of type, location, and size to remove the contingency and maintain voltage stability. Wrong switching may worsen the problem and that may lead to blackout. This work proposed and used an artificial neural network (ANN) to assist the dispatcher in the decision making. The ANN is used in the static voltage stability to map instantaneously a contingency to a set of controllers where the types, locations, and amount of switching are induced. The work proposes the type and architecture of the ANN to be used and the training data size.
Keywords :
neural nets; power engineering computing; power system stability; ANN; artificial neural network; decision making; power systems voltage stability; static voltage stability; steady-state operation; Artificial intelligence; Artificial neural networks; Control systems; Knowledge based systems; Power system control; Power system security; Power system stability; Steady-state; Training data; Voltage control; Neural network applications; Power system control; Reactive power control; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008. Joint International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4244-1763-6
Electronic_ISBN :
978-1-4244-1762-9
Type :
conf
DOI :
10.1109/ICPST.2008.4745343
Filename :
4745343
Link To Document :
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