Abstract
The wind power grid-connected inverter system has the characteristics of non-linearity, strong coupling, and susceptibility to grid voltage fluctuations and non-linear loads. To obtain the ideal control effect, the improved linear active disturbance rejection controller (LADRC) controls the voltage outer loop. Firstly, the mathematical model of the wind power grid-connected inverter is analyzed, on this basis, a linear active disturbance rejection control based on the reduced-order linear extended state observer is designed, reduce the phase lag of the observer, improve the system’s disturbance observation accuracy; reference lead correction lag correction method, the observer gain is improved and connected in series to the total disturbance channel to reduce the noise amplification effect of the observer; through frequency domain response characteristic analysis, the results show that the improved LADRC has better disturbance rejection performance. The simulation results of various working conditions show that the improved method has better rapidity and immunity compared with traditional LADRC.
Highlights
With the rapid development and successful application of high-power power electronic devices, direct-drive permanent magnet wind power generation system has become one of the main models of wind power generation in China[1,2], the direct-drive permanent magnet wind generator set realizes the isolation between the generator and the large power grid through the back-to-back dual pulse width modulation converter
In reference [11], nonlinear ADRC has been applied to inverter, the controller design is complex and has many parameters; in reference [12], by introducing the differential term of output voltage error, increased LESO ’ s observer bandwidth, the parameters of LESO after the transformation has doubled, making it difficult to set; reference [13] deleted the known outputs in the system from the linear extended state observer, proposed the linear active disturbance rejection controller (LADRC) of the reduced-order linear extended state observer (RLESO), the phase lag of the system is reduced to a certain extent, the immunity and robustness of LADRC are improved
SIMULATION AND ANALYSIS In order to verify the performance effect of the control system designed in this article, perform simulation research in MATLAB/Simulink environment, in the simulation research, this paper compares with the traditional LADRC method proposed in the literature [22], the parameter conditions in literature [22] are used for simulation verification
Summary
With the rapid development and successful application of high-power power electronic devices, direct-drive permanent magnet wind power generation system has become one of the main models of wind power generation in China[1,2], the direct-drive permanent magnet wind generator set realizes the isolation between the generator and the large power grid through the back-to-back dual pulse width modulation converter. The current control methods of grid-connected inverters mainly include voltage-oriented control, direct power control, and nonlinear control [5,6]. Reference [8] proposed to replace the traditional PI controller with fuzzy PI control technology and neural network PI control technology, improve the sine fullness of the grid-connected current, reduce harmonic content. In reference [11], nonlinear ADRC has been applied to inverter, the controller design is complex and has many parameters; in reference [12], by introducing the differential term of output voltage error, increased LESO ’ s observer bandwidth, the parameters of LESO after the transformation has doubled, making it difficult to set; reference [13] deleted the known outputs in the system from the linear extended state observer, proposed the LADRC of the reduced-order linear extended state observer (RLESO), the phase lag of the system is reduced to a certain extent, the immunity and robustness of LADRC are improved. The frequency-domain analysis proves that the antiinterference performance of the improved LADRC is better than that of the traditional LADRC, the effectiveness of the strategy proposed in this paper is verified by simulation
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