Control and Research Based on Improved LADRC in Wind Power Inverter Systems

Abstract

In the context of global ecological degradation and the gradual depletion of fossil energy sources, the importance of new energy power in production and development is rising year by year. In order to reduce the impact of fluctuations in wind power systems on the grid due to various reasons during grid connection, this paper proposes an improved Linear Active Disturbance Rejection Control (LADRC) combined with a neural network based grid-side inverter control method, which, based on the analysis of the characteristics of permanent magnet motors and the current situation of their use, enables the converter to show better control characteristics in terms of DC-side voltage fluctuation amplitude and recovery time during operation. Simulation results show that the controller is more robust and adaptable to the uncertainty and external disturbance changes of the converter under different operating conditions than the traditional control method. The system has good dynamic response performance.