Adaptive Backstepping and PID Control Strategy with Genetic Algorithm for PMSG by a Grid-Connected Wind Turbine

Abstract

In view of the importance of the trend and the need for energy transition throughout the world, and in Algeria in particular, the production of electrical energy based on renewable energy, wind energy depends essentially on wind speed, and as this is of a random nature, it therefore constitutes the problem of control to instantly extract the maximum power produced.  The aim is to apply adaptive backstepping control on the turbine side and to evaluate the performance of the permanent magnet synchronous generator operating at variable speed. As well as a genetic algorithm-adjusted Integral Proportional Controller (IPC) to overcome the drawbacks of parameter sensitivity, in order to ensure efficient power management on the grid side to which the wind turbine system is connected, makes a significant contribution to improving performance, stability, reliability and research in the field of grid-connected wind power systems. The efficiency of the structure under consideration is validated using MatLab Simulink.