<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/9217" mdate="2011-08-28 00:00:00"> <author>D. Mondal and A. Chakrabarti and A. Sengupta</author> <title>Small Signal Stability Assessment Employing PSO Based TCSC Controller with Comparison to GA Based Design</title> <pages>1140 - 1147</pages> <year>2011</year> <volume>5</volume> <number>8</number> <journal>International Journal of Electrical and Computer Engineering</journal> <ee>https://publications.waset.org/pdf/9217</ee> <url>https://publications.waset.org/vol/56</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>This paper aims to select the optimal location and setting parameters of TCSC (Thyristor Controlled Series Compensator) controller using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to mitigate small signal oscillations in a multimachine power system. Though Power System Stabilizers (PSSs) are prime choice in this issue, installation of FACTS device has been suggested here in order to achieve appreciable damping of system oscillations. However, performance of any FACTS devices highly depends upon its parameters and suitable location in the power network. In this paper PSO as well as GA based techniques are used separately and compared their performances to investigate this problem. The results of small signal stability analysis have been represented employing eigenvalue as well as time domain response in face of two common power system disturbances e.g., varying load and transmission line outage. It has been revealed that the PSO based TCSC controller is more effective than GA based controller even during critical loading condition.</abstract> <index>Open Science Index 56, 2011</index> </article>