PARAMETERS OPTIMIZATION OF AVR AND MULTI-BAND PSS VIA A GENETIC ALGORITHM TECHNIQUE SO AS TO IMPROVE THE INTEGRATION RATE OF WIND FARM INTO THE ELECTRICITY GRID

Abstract

Ponte Academic JournalDec 2019, Volume 75, Issue 12 PARAMETERS OPTIMIZATION OF AVR AND MULTI-BAND PSS VIA A GENETIC ALGORITHM TECHNIQUE SO AS TO IMPROVE THE INTEGRATION RATE OF WIND FARM INTO THE ELECTRICITY GRIDAuthor(s): Bilel Dhouib ,Zuhair Alaas, Amor Kahouli, Hsan Haj AbdallahJ. Ponte - Dec 2019 - Volume 75 - Issue 12 doi: 10.21506/j.ponte.2019.12.9 Abstract:In this study, we applied the Genetic Algorithm (GA) technique to regulator parameters to improve the integration rate of wind energy into the grid. Due to the different available power system stabilizer models, it is necessary to select the best stabilizer to ensure stability and subsequently increase the rate of integration of wind energy into the grid. We compared a simulation of the conventional power system stabilizer (C-PSS) and the new Multi-Band Power System Stabilizer (MB-PSS). With its three frequency bands, the new MB-PSS has been used with an Automatic Voltage Regulator (AVR) to improve power system stability. The MB-PSS ensures maximum damping not only in local modes guaranteed by the conventional regulators but also in interregional modes. To further improve the integration rate, we present a global optimization method based on a genetic algorithm to determine the optimal parameters of AVR and MB-PSS. Adjusting the parameters of these two regulators can significantly improve the integration rate of wind energy into and guarantee the stability of the grid. The simulation results demonstrate the efficiency of the proposed approach. Download full text:Check if you have access through your login credentials or your institution Username Password