DocumentCode :
641307
Title :
A wavelet based controller for UPFC to improve power quality
Author :
Murali Krishna, T. ; Anjaneyulu, K.S.R. ; Ram Kishore Kumar Reddy, P.
Author_Institution :
Dept. of EEE, CBIT, Hyderabad, India
fYear :
2013
fDate :
28-29 March 2013
Firstpage :
24
Lastpage :
27
Abstract :
The role of power transmission line is to transmit power of high quality without interruption. The flow of power basically depends on the line impedance, sending and receiving end voltage magnitudes. The most preferable Flexible AC Transmission System (FACTS) device is UPFC (Unified Power Flow Controller) which can provide the control of all these parameters simultaneously or independently. The control parameters of UPFC are traditionally set in parameter space. This spacial feature based controller cannot consider the spectral features of the system during dynamic fault conditions. In order to optimize the efficiency of the computational process, wavelet based neuro controller is proposed which speed up the process besides providing more flexibility to identify the dynamic changes. The results show that the rotor angle oscillations have been damped out quickly with wavelet based neuro controller for UPFC.
Keywords :
flexible AC transmission systems; load flow control; neurocontrollers; power supply quality; wavelet transforms; FACTS device; UPFC; computational process; control parameters; dynamic fault conditions; flexible AC transmission system device; line impedance; parameter space; power quality; power transmission line; rotor angle oscillations; spacial feature based controller; spectral features; unified power flow controller; wavelet based neuro controller; Computational efficiency; Control systems; Power system stability; Process control; Reactive power; Voltage control; Neural network; Power Flow Control; Power Quality; UPFC; Wavelet Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Structures and Systems (ICSSS), 2013 IEEE International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-6240-5
Type :
conf
DOI :
10.1109/ICSSS.2013.6622994
Filename :
6622994
Link To Document :
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