Control strategy of grid connected inverter for th

Research on control strategy of variable speed constant frequency doubly fed wind power generation system and inverter_ A new inverter control method based on improved voltage oriented control and neural network tuning PL control is proposed, which can control the incoming energy, reduce the voltage and current harmonic components of the inverter, and improve the power quality. Taking full advantage of the fast parallel processing ability and learning ability of neural network, the calculation time is shortened, and then the harmonic component caused by control delay is reduced. Finally, the simulation model is established in Matlab/simu/ink environment combined with NN toolbox, and the simulation research is carried out in variable speed constant frequency wind power generation system. The simulation results prove the feasibility of the new inverter control algorithm based on the combination of improved voltage oriented control and self-tuning PL control based on artificial neural network

wind energy has become one of the renewable energy sources with high development prospects. On June 24, 2010, at the China "clean energy and power integration forum" held in Beijing, China, Li Bin, director of the science and technology development center of the China Electricity Council, said that there was an urgent need to solve the problem of wind power integration and control. With the increase of the installed capacity of wind power generation, the parallel control technology of wind energy has attracted more and more attention, especially the parallel inverter control technology of AC excited wind turbine system

with the development of power electronics technology, people continue to study the inverter control, so that the performance of parallel wind power generation system has been improved. Among them, Li Ming et al. Proposed a new parallel inverter based on sinusoidal wide hysteresis current control. The inverter uses a double buck topology to replace the traditional bridge electric according to the national standard. This team will rely on its mechanical processing circuit to solve the direct connection problem in the bridge circuit and reduce the loss caused by the poor performance of the freewheeling diode. On the basis of the dynamic mathematical model of the inverter on the wind power generation side, Zhao Meihua and others adopted the space vector pulse width modulation (SVPWM) mode and the electric voltage synthesis vector orientation to realize the copper sleeve of the current active component column: it is refined by brass, decoupled from the reactive component and adjustable control of the power number. Wu Chunhua, Jiuyi and others analyzed the characteristics of the immittance converter, deduced the voltage and current of each point of the whole system in detail, and proposed a novel triangular wave triangular wave modulation method. This control strategy overcomes the disadvantages of high parallel current harmonic content and low power factor caused by the traditional sine wave triangular wave modulation method. Guo Xiaoqiang and others introduced two new types of PR control strategy in their article, which should also be changed and be in line with the international standards in 1997. They realized zero steady-state error of the output current of the parallel inverter, and applied the theory of IIR digital filter in digital purple signal processing to the discretization of the controller, realizing the optimization of the controller performance. By introducing the method of rectifying load current compensation, Yao Zhilei and others eliminated the influence of rectifying load and filter capacitor on electric current, improved the waveform quality of electric current, and this method is simple to control and easy to implement

however, the above methods are generally based on the traditional proportional derivative (PI) control method for control compensation, and the PL control method has certain limitations in speed and control range. Therefore, this paper will conduct in-depth analysis and Research on the control of parallel inverter, and propose a pl control method based on Neural Network self-tuning on the basis of the dynamic model of electric side inverter. It makes full use of the fast parallel processing ability and learning ability of neural network, shortens the calculation time, reduces the harmonic components caused by the South control delay, and is improved compared with the traditional PI control method. The simulation results prove the feasibility of the new inverter PL control algorithm based on artificial neural network self-tuning