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

fYear

2012

fDate

30-31 March 2012

Firstpage

250

Lastpage

255

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);

fLanguage

English

Publisher

ieee

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

Type

conf

Filename

6216125