Optimization Using a Genetic Algorithm Based on DFIG Power Supply for the Electrical Grid
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 35، شماره: 1
سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 171
فایل این مقاله در 9 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
این مقاله در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJE-35-1_007
تاریخ نمایه سازی: 10 آبان 1400
چکیده مقاله:
In this paper, we will be interested in studying a system consisting of a wind turbine operating at variable wind speed, and a two-feed asynchronous machine (DFIG) connected to the grid by the stator and fed by a transducer at the side of the rotor. The conductors are separately controlled for active and reactive power flow between the stator (DFIG) and the grid. The proposed controllers generate reference voltages for the rotor to ensure that the active and reactive power reaches the required reference values, to ensure effective tracking of the optimum operating point and obtaining the maximum electrical power output. Dynamic analysis of the system is performed under the variable wind speed. This analysis is based on active and reactive energy control. The new work in this paper is to introduce theories of genetic algorithms into the control strategy used in the switching chain of wind turbines, to improve performance and efficiency. Simulation results applied to genetic algorithms give greater efficiency, impressive results, and stability to wind turbine systems compared to classic PI regulators. Then, artificial intelligent controls, such as genetic algorithms control, are applied. . Results obtained, in Matlab/Simulink environment, show the efficiency of this proposed unit.
کلیدواژه ها:
DFIG ، Variable Speed Wind Turbine ، Three-phase PWM Back to-back converters ، field oriented control ، Controllers design optimization ، Genetic algorithms. MPPT
نویسندگان
abdelhafid guediri
Department of Electrical Engineering, University of El Oued Algeria
abdelkarim guediri
Department of Electrical Engineering, University of El Oued Algeria
Slimane Touil
Department of Electrical Engineering, University of El Oued Algeria