Title :
Intelligent SVC control for transient stability enhancement
Author :
Abdelazim, Tamer ; Malik, O.P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
Abstract :
An adaptive static VAR compensator (SVC) controller used to control the output of an SVC to damp power system oscillations is developed. The adaptive controller consists of an on-line identified plant model and a fuzzy logic controller. On-line model identification by recursive least-squares algorithm is used to obtain a dynamic equivalent model of the system model. A fuzzy logic controller is then adapted using the identified model. Effectiveness of the proposed technique is demonstrated by simulation studies on a single machine infinite bus system. Results obtained show improvement in the overall system damping characteristics using the proposed adaptive fuzzy logic SVC controller.
Keywords :
adaptive control; fuzzy control; least squares approximations; oscillations; power engineering computing; power system control; power system identification; power system transient stability; static VAr compensators; adaptive static VAR compensator controller; dynamic equivalent model; fuzzy logic controller; intelligent SVC control; online identified plant model; online model identification; power system oscillations damping; recursive least-squares algorithm; single machine infinite bus system; transient stability enhancement; Adaptive control; Control systems; Fuzzy logic; Intelligent control; Power system dynamics; Power system modeling; Power system stability; Power system transients; Programmable control; Static VAr compensators;
Conference_Titel :
Power Engineering Society General Meeting, 2005. IEEE
Print_ISBN :
0-7803-9157-8
DOI :
10.1109/PES.2005.1489352