Research On Photovoltaic Generation System Based On Soft Switch And MFAC

Photovoltaic power generation with its broad prospect of development and utilization, has become a hotspot research nowadays. In this paper, we put photovoltaic grid system as the research object, mainly on the photovoltaic maximum power point tracking problem in control, DC/DC transform, DC/AC transform, and control for in-depth reaserch, improving control algorithm, to solve the tracking speed and accuracy which is not high, and the test and simulation, prove the superiority of the effect.According to the conventional maximum power point tracking speed and precision can not exist simultaneously, adaptive step size perturbation and observation method is proposed, this method can effectively improve the response speed of the system, at the same time, change the corresponding step at the maximum power point to improve the precision, the accuracy reaches a certain value to control step to prevent the system oscillation. Compared with the traditional maximum power point tracking method, this method reduces the blindness of system operation, improves the performance of the tracking system.For the system DC/DC converter is difficult to accurately model, this paper proposed a control method based on MFAC, This article will be based on data-driven model free adaptive control method which is applied to the control of power electronic conversion, Test and simulation results show that the method taking into account the traditional control methods designed to be simple and modern control methods to control the precise advantages, but also on the model mismatch phenomenon has certain improvement. At the same time we introduced the passive lossless snubber effectively solves the problem of switching loss in the process of transformation, improve the efficiency of the system. The DC/AC transformation process control is based on SVPWM the three-phase grid, and we introduced the soft switching technology in grid connected inverter, reduce the switching losses of the inverter in the process, improve the efficiency of the system, the simulation results of surface system is running well, and it can effectively meet the grid requirements.