Solar energy is the energy obtained from the sun in the form of solar radiation.Solar energy depends on the photovoltaic system and the heat engine.Today,these technologies are widely focused on providing reliable power to grid-connected systems and stand-alone loads.Maximum Power Point Tracking(MPPT)is an important part of a PV system.This paper designs a low-cost,high-performance miniature solar inverter,and combines SCR full-bridge circuit with staggered fly back active clamp to realize a miniature solar inverter with220W output,and provides the whole system.The hardware architecture and control strategy were validated experimentally.Based on this inverter,this paper designs a photovoltaic grid-connected simulation system that combines solar photovoltaic modules with MPPT,DC-DC Boost converters,and DC-AC converters,and under different illuminations(The system was simulated between 500 W/m ~2 and1000 W/m~2.The simulation results show that the designed PV grid-connected simulation system can accurately track the maximum power point.Since the conversion efficiency of the PV array is very low,this paper applies the fuzzy control MPPT method to the controller design according to the actual situation and tests it under the resistance load condition below the maximum power point load.The experiment proves that the maximum power of the traditional photovoltaic grid connection Point tracking algorithms,such as the Perturbation and observation method and the Incremental conductance method,are more efficient.In summary,the proposed PV grid-connected simulation system is compared with the existing MPPT system.In the case of optimizing the control circuit,the design of the micro solar inverter and the fuzzy control MPPT controller can make the system have no steady-state oscillation.In the case of accurate and fast tracking of the maximum power point in order to achieve the purpose of improving solar energy conversion efficiency. |