Title :
Intelligent FACTS controller based on ANFI architecture
Author :
Albakkar, A. ; Malik, O.P.
Author_Institution :
Electr. Eng., Riyadh Coll. of Technol., Riyadh, Saudi Arabia
Abstract :
A prospective application of applying an adaptive controller to a Static Var Compensator (SVC) to damp power system oscillations and enhance system stability is presented in this paper. The proposed adaptive controller consists of two parts, an adaptive neuro-identifier (ANI) and a Neuro-fuzzy Controller. The adaptive neuro-identifier is used in the control strategy to identify the plant dynamics and predict its output one step ahead. The parameters of the neuro-fuzzy controller are optimized on-line using the gradient descent algorithm. The effectiveness of the proposed technique is demonstrated on an SVC located at the middle of a transmission line connecting a generator to an infinite bus. Results of simulation studies show an improvement in the overall system damping characteristics with the proposed controller.
Keywords :
adaptive control; flexible AC transmission systems; fuzzy control; gradient methods; neurocontrollers; power system stability; power transmission control; static VAr compensators; ANFI architecture; SVC; adaptive controller; adaptive neuro-identifier; generator; gradient descent algorithm; infinite bus; intelligent FACTS controller; neuro-fuzzy controller; power system oscillations; static Var compensator; system stability enhancement; transmission line; Adaptation models; Adaptive systems; Damping; Generators; Power system stability; Static VAr compensators; Torque; Adaptive Neuro-fuzzy Controller; Adaptive neuro-identifier; SVC;
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2011.6038956
