Title :
Optimization of UPFC controllable parameters for stability enhancement with Real-Coded Genetic Algorithm
Author :
Baskaran, Shakila ; Karpagam, N. ; Devaraj, D.
Author_Institution :
EEE Dept., Kalasalingam Univ., Krishnankoil, India
Abstract :
This paper deals the methodology to obtain damping of sustained oscillation in the power system with the help of Unified Power Flow Controller (UPFC). The linear model of the UPFC is taken and the tuning of the controllable parameters is done with the help of Real-Coded Genetic Algorithm (RCGA). The UPFC is installed in Single Machine Infinite Bus (SMIB) for the analysis of performance of the power system and is simulated for three phase fault using MATLAB/SIMULINK. The relation between the optimization of controller parameters with both conventional method and RCGA method have been analyzed and compared. Magnificent improvement in robust damping has been observed with RCGA implementation.
Keywords :
damping; genetic algorithms; load flow control; MATLAB-SIMULINK simulation; RCGA method; UPFC controllable parameters; linear model; real coded genetic algorithm; robust damping; single machine infinite bus; stability enhancement; sustained oscillation; three phase fault; unified power flow controller; Application software; Damping; Load flow; Mathematical model; Oscillators; Robustness; Tuning; Flexible AC Transmission System (FACTS); Linearized Phillips-Heffron model (LPH model); Modified Linearized Phillips-Heffron model (MLPH model); Real-Coded Genetic Algorithm (RCGA); Single Machine Infinite Bus (SMIB); Unified Power Flow Controller (UPFC);
Conference_Titel :
Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on
Conference_Location :
Nagapattinam, Tamil Nadu
Print_ISBN :
978-1-4673-0213-5
