Title :
Automatic generation control of a two area reheat interconnected power system based on CPS using fuzzy neural network
Author :
Chidambaram, I.A. ; Francis, R.
Author_Institution :
Annamalai Univ., Annamalainagar, India
Abstract :
The AGC of reheat interconnected two area power systems are characterized by non-linearity and uncertainty. A hybrid neural network and fuzzy control is proposed for automatic generation control in power systems. Recurrent neural network is employed to forecast controller and system´s future output, based on the current Area Control Error (ACE) and the predicted change-of-ACE. The Control Performance Standard (CPS) criterion is adapted to the fuzzy controller design, thus improves the dynamic quality of system. The system was simulated and the frequency deviations in area 1 and area 2 and tie-line power deviations for 1% step-load disturbance in area 1 were obtained. The comparison of frequency deviations and tie-line power deviations for the two area interconnected thermal power system integral controller with Redox Flow Batteries (RFB) reveals that the system with hybrid fuzzy neural controller enhances a better stability than that of system without hybrid fuzzy neural controller.
Keywords :
fuzzy control; fuzzy neural nets; power engineering computing; power generation control; power system interconnection; recurrent neural nets; automatic generation control; control performance standard; forecast controller; fuzzy control; fuzzy neural network; hybrid fuzzy neural controller; hybrid neural network; integral controller; interconnected power system; recurrent neural network; redox flow batteries; step-load disturbance; tie-line power deviations; Artificial neural networks; Automatic generation control; Frequency control; Fuzzy control; Power system dynamics; Automatic Generation Control; Control Performance Standards; Redox Flow Batteries;
Conference_Titel :
Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on
Conference_Location :
Tamil Nadu
Print_ISBN :
978-1-4244-7923-8
DOI :
10.1109/ICETECT.2011.5760116