Improvement of Power System Stability by Static Var Compensator and Tuning Employing Genetic Algorithm

• 作者: Mohamed Ben Ali Kammoun Salma Keskes Wissem Bahloul
• 来源期刊: 现代非线性理论与应用(英文)
• 学科: 工学
• 关键词: Genetic Algorithm MATLAB/SIMULINK Power System STABILIZER SVC-Controller SMIB TRANSIENT Stability
• 年，卷（期）: 2014,（3）
• 页码范围: 113-123
• 页数: 11页
• 分类号: TM7

摘要

The use of power systems as close to their operating limits can cause instability if a disturbance is occurred. The damping of the system’s oscillations can be obtained by conventional means such as voltage and speed regulation but also by Flexible AC Transmission System devices (FACTS). These devices are increasingly used in power systems. This paper presents a systematic procedure for modelling and simulation of a single-machine infinite-bus power system installed with a Static VAR Compensator (SVC). So the impact of the SVC on power system stability can be reasonably evaluated. Genetic algorithm (GA) optimization technique is applied to design robust power system stabilizer and SVC-controllers for single-machine infinite-bus (SMIB) and is employed to search for optimal controller parameters.