Title :
Tuning of PID SSSC controller using artificial bee colony optimization technique
Author :
Rahim, A.H.M.A. ; Ali, M.A.
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
The dynamic performance of a power system has been investigated with static synchronous series compensator (SSSC) control. The strategy has been implemented through a PID controller, parameters of which are tuned through an artificial bee colony (ABC) optimization procedure. The small signal response of the system has been evaluated through a 5th order system dynamic model with and without the PID model incorporated. A simple pole-placement technique was employed to get the range of parameters used as input to the ABC algorithm. It was observed that the PID controller, with controller gains determined through ABC algorithm, provided very good transient profile following large disturbances in the system.
Keywords :
ant colony optimisation; power system control; three-term control; 5th order system dynamic model; PID SSSC controller; artificial bee colony optimization; pole-placement technique; power system; small signal response; static synchronous series compensator control; Tuning; Turbines; Artificial bee colony algorithm; PID control; power system stability; static synchronous series converter;
Conference_Titel :
Multi-Conference on Systems, Signals & Devices (SSD), 2014 11th International
Conference_Location :
Barcelona
DOI :
10.1109/SSD.2014.6808787