DocumentCode :
2268014
Title :
Real-time estimation of multiple series capacitor quantity for transient stability energy margin improvement
Author :
Kim, Soo-Nam ; Kim, Kyu-Ho ; You, Seok-Ku
Author_Institution :
Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
238
Abstract :
This paper presents a method for real-time estimation of the multi series capacity reference quantity in order to enhance the power system transient stability energy margin using an artificial neural network in a power system. This paper has three parts. The first part is to determine suitable lines to be installed by a series capacitor. The second is to estimate energy margin using an ANN. The last is to estimate each series capacity reference quantity if the estimated energy margin is unstable in the former step. The proposed ANN learning rule is the modified Levenberg-Marquardt backpropagation using the concept of fuzzy membership function.
Keywords :
backpropagation; fuzzy set theory; genetic algorithms; neural nets; power capacitors; power system analysis computing; power system parameter estimation; power system transient stability; ANN; FACTS; Levenberg-Marquardt back-propagation; artificial neural network; energy margin; fuzzy membership function; genetic algorithms; learning rule; multi series capacity reference quantity; power system transient stability energy margin; real-time estimation; series capacitor; thyristor controlled series capacitor; transient energy function; Artificial neural networks; Capacitors; Control systems; Genetic algorithms; Power system modeling; Power system stability; Power system transients; Real time systems; Thyristors; Transient analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society Winter Meeting, 2002. IEEE
Print_ISBN :
0-7803-7322-7
Type :
conf
DOI :
10.1109/PESW.2002.984992
Filename :
984992
Link To Document :
بازگشت