Research On Wind Turbine Inverter Based On LCL Filter

With the gradual reduction of available energy for human beings,the discovery of replaceable new energy sources has become an important issue.Wind energy has the advantages of renewable,zero pollution,etc.,and has entered people's sights.The research on grid-connected inverters for wind turbines has become a top priority.According to the contradiction between traditional filter design cost and filtering efficiency,based on passive filtering,a parameter optimization model based on genetic algorithm(GA)and particle swarm optimization(PSO)is proposed,and each algorithm is built in Matlab.Inverter simulation model.The results show that the PSO algorithm is simple and easy to program,and has obvious advantages in filter parameter optimization.The LCL type grid-connected inverter directly adopts the PI and the repetitive control series or parallel control strategy,and the system has the problem that the controllers interfere with each other.In response to this situation,the grid-parallel composite control of grid-connected inverters is designed to combine PI dynamic response,quasi-PR(QPR)anti-interference ability and repeated control zero-steady-state error.The Matlab simulation model of each controller is established.The results show that the series-parallel composite control structure has better dynamic response speed and steady-state compensation performance.Aiming at the shortcomings of traditional DSP code development cycle,complicated debugging process,an efficient and fast DSP development method is proposed.Using Matlab and Code Debugger(CCS),in the Simulink,the DSP code generation model is built by graphical interface,the DSP code is automatically generated,and the experimental model is built to verify the feasibility of this method.Figure 50;Table 5;Reference 66.