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Genetic Algorithms for Tuning Supplementary STATCOM Stabilizer in a Multi Machine Electric Power System

Author(s): S. Shams Shamsabad Farahani | M. Nikzad | M. Bigdeli Tabar | M. Ghasemi Naraghi | A. Javadian

Journal: Research Journal of Applied Sciences, Engineering and Technology
ISSN 2040-7459

Volume: 3;
Issue: 8;
Start page: 843;
Date: 2011;
Original page

Keywords: Damping of power system oscillations | dynamic stability enhancement | flexible ac transmission systems | genetic algorithms | multi machine electric power system | static synchronous compensator

In this study, the performance of supplementary stabilizer for static synchronous compensator (STATCOM) tuned based on genetic algorithms in order to improvement of dynamic stability is studied. Since STATCOM is usually used for damping Low Frequency Oscillations (LFO), a supplementary stabilizer is incorporated with STATCOM to reach the mentioned purpose. Genetic Algorithms (GA) as a heuristic optimization technique is used for tuning the parameters of the STATCOM supplementary stabilizer. The IEEE 14 bus test system is considered for achieving simulation results .In order to show the ability of GA-based STATCOM to damp LFO, the system responses in case with and without STATCOM are compared. Also two different operation conditions i.e. normal and heavy have been considered for better examination of GA-based STATCOM performance. Several nonlinear time-domain simulation tests visibly show the ability of STATCOM in damping of power system oscillations and consequently stability enhancement.
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