Title :
ADALINE Network Based Adaptive Controller for STATCOM
Author :
Albakkar, A. ; Malik, O.P. ; Rosehart, W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB
Abstract :
In this paper, an adaptive controller for static synchronous compensator (STATCOM) is developed to damp oscillations and enhance the stability of power systems. The adaptive controller consists of an on-line identified system model and a pole-shift (PS) feedback controller. Adaptive linear element neuron (ADALINE) is used for on-line model identification to obtain a dynamic equivalent model of the system. The PS controller is then adapted using the identified model. The proposed technique is tested on a single machine infinite bus system. The results obtained demonstrate improvement in the overall system damping characteristics applying the proposed adaptive controller and enhancing the stability of the power system in comparison to the conventional controller.
Keywords :
adaptive control; feedback; neurocontrollers; power system control; power system identification; power system stability; static VAr compensators; ADALINE network; STATCOM; adaptive controller; adaptive linear element neuron network; dynamic equivalent model; on-line identified system model; oscillation damping; pole-shift feedback controller; power system stability enhancement; single machine infinite bus system; static synchronous compensator; Adaptive control; Adaptive systems; Automatic voltage control; Control system synthesis; Control systems; Neurons; Power system dynamics; Power system modeling; Power system stability; Programmable control; ADALINE Network; Adaptive PS Controller; STATCOM;
Conference_Titel :
Power Symposium, 2006. NAPS 2006. 38th North American
Conference_Location :
Carbondale, IL
Print_ISBN :
1-4244-0227-1
Electronic_ISBN :
1-4244-0228-X
DOI :
10.1109/NAPS.2006.359595