Title :
Adaptive PSO Based Tuning of PID- Fuzzy and SVC-PI Controllers for Dynamic Stability Enhancement: A Comparative Analysis
Author :
Sridhar, M. ; Vaisakh, K. ; Murthy, K. S Linga
Author_Institution :
Dept. of Electr. & Electron. Engg, Godavari Inst. of Eng. & Technol., Dajahmundry, India
Abstract :
The power system is a dynamic system. Satisfactory damping of power oscillations is an important concern when dealing with the rotor angle stability. To improve the damping of oscillations in power systems, supplementary control laws can be applied to existing devices. In this paper, a PID fuzzy controller structure and optimal PI controller of a static Var compensator (SVC) are presented and implemented on single machine infinite bus system for improving the oscillations damping. The parameters of both the PID fuzzy controller and SVC-PI controllers are tuned by the adaptive particle swarm optimization (APSO).
Keywords :
PI control; adaptive control; control system synthesis; particle swarm optimisation; power system control; power system dynamic stability; rotors; static VAr compensators; three-term control; PID-fuzzy controllers; SVC-PI controllers; adaptive PSO based tuning; adaptive particle swarm optimization; dynamic stability; power system; rotor angle stability; single machine infinite bus system; static var compensator; Adaptive control; Control systems; Damping; Fuzzy control; Power system analysis computing; Power system control; Power system dynamics; Power system stability; Programmable control; Stability analysis;
Conference_Titel :
Emerging Trends in Engineering and Technology (ICETET), 2009 2nd International Conference on
Conference_Location :
Nagpur
Print_ISBN :
978-1-4244-5250-7
Electronic_ISBN :
978-0-7695-3884-6
DOI :
10.1109/ICETET.2009.21
