WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 10, 2015
A Robust PID-PSS Using Evolutionary Algorithms Implemented Using Developed Interface
Authors: , ,
Abstract: Power System Stabilizer (PSS) is a supplementary control signal of a generator’s excitation system based on Automatic Voltage Regulator (AVR), are now routinely used in the industry to damp out power system oscillations. Optimal tuning gain of AVR - PSS is necessary for satisfactory performance of power system. Genetic algorithms (GA) have been widely used for global optimization problems. This paper presents a systematic approach for designing and optimal tuning an advanced Conventional AVR-PSS gains, realized on PID-schemes (called AVRSA), to improve the effectiveness and investigates its robustness under uncertainly constraints on a SMIB system, using Genetic Algorithms. The proposed approach employs GA search for optimal setting of AVR-PSS parameters. The performance of the proposed GA-PSS under small and large disturbances, loading conditions and system parameters variations are tested. The simulation results have proved that GA are powerful tools for optimizing the AVR-PSS parameters, and obtained more robustness of the studied power system. This present work was performed and simulated using our graphical interface ‘GUI’ realized under MATLAB.
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Keywords: AVR-PSS, genetic algorithms, GUI-MATLAB, synchronous generators , stability and robustness
Pages: 467-475
WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 10, 2015, Art. #51