Wang, Y.P., Hur, D.R., Chung, H.H., Watson, N.R., Arrillaga, J. and Matair, S.S. (2000) A Genetic Algorithms Approach to Design and Optimal PI Controller for Static VAr Compensator. International Conference on Power System Technology (PowerCon 2000), Christchurch, 4-7 December 2000, 1557-1562. - References

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Wang, Y.P., Hur, D.R., Chung, H.H., Watson, N.R., Arrillaga, J. and Matair, S.S. (2000) A Genetic Algorithms Approach to Design and Optimal PI Controller for Static VAr Compensator. International Conference on Power System Technology (PowerCon 2000), Christchurch, 4-7 December 2000, 1557-1562. http://dx.doi.org/10.1109/9.402235

has been cited by the following article:

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

AUTHORS: Salma Keskes, Wissem Bahloul, Mohamed Ben Ali Kammoun

KEYWORDS: Genetic Algorithm, MATLAB/SIMULINK, Power System Stabilizer, SVC-Controller, SMIB, Transient Stability

JOURNAL NAME: International Journal of Modern Nonlinear Theory and Application, Vol.3 No.3, July 16, 2014

ABSTRACT: 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.