UPFC based stabilizer design using artificial intelligence

Abstract

This paper presents the application of Unified Power Flow Controller (UPFC) to enhance damping of Low Frequency Oscillations (LFO) at a Single-Machine Infinite-Bus (SMTB) power system installed with UPFC. Since UPFC is considered to mitigate LFO, therefore a supplementary damping controller based UPFC like power system stabilizer is designed to reach the defined purpose. Artificial intelligence methods such as Particle Swarm Optimization (PSO) and Fuzzy-Genetic Algorithms (GA) are considered to design UPFC supplementary stabilizer controller. In the Fuzzy-GA technique, the upper and lower bounds of the Fuzzy membership functions are obtained using genetic algorithms optimization method and so this Fuzzy method is called scaled-Fuzzy. To show effectiveness and also comparing these two methods, the proposed methods are simulated under different operating conditions. Several linear time-domain simulation tests visibly show the validity of proposed methods in damping of power system oscillations. Also Simulation results emphasis on the better performance of PSO in comparison with Fuzzy-GA method. © IDOSI Publications, 2011.