Application Of Asymmetric Fuzzy Control Algorithm In MPPT

With the development of social economy and science and technology,the population density is also increasing,the use of fossil energy and the environmental pollution caused by it have become very serious.At present,the development and use of clean energy is now a hot issue.Solar energy has the advantages of pollution-free and noise-free.It has a very broad development space and huge development potential.my country is recovering vast and abundant solar energy resources.As the main form of photovoltaic power generation,grid-connected photovoltaic power generation is now being valued by governments,experts and scholars in various countries.The thesis first introduces the current application and development prospects of photovoltaic power plants,and discusses the basic principles of photovoltaic cells,and then obtains the mathematical model of photovoltaic panels through the above principles,and finally studies the output characteristics of photovoltaic cells and the solar maximum power tracking algorithm,The thesis analyzes several existing traditional maximum power tracking algorithms and solar maximum power tracking algorithms fused with intelligent algorithms,and conducts a detailed analysis of the traditional and intelligent maximum power tracking algorithms,and compares the advantages and disadvantages of the algorithms in detail.In order to overcome the problem of low final efficiency in the traditional algorithm,this paper applies the fuzzy control idea to the maximum power point tracking control,and realizes the maximum power point tracking based on fuzzy control.In order to further improve the efficiency of fuzzy control,this paper introduces an asymmetric fuzzy control algorithm based on the asymmetric characteristics of photovoltaic cells.The simulation results show that this method can track the maximum power point more quickly according to the change of output power,and it can also effectively reduce Or eliminate the oscillation phenomenon of the photovoltaic cell operating point near the maximum power point in the traditional method,thereby improving the power generation efficiency of the photovoltaic cell.In the end,the asymmetric fuzzy control algorithm is tested and verified on the basis of simulation.DSP2407 is used to build a test platform for the control core,and the effectiveness of the asymmetric fuzzy control algorithm used in this paper is verified by measuring the DC side voltage and grid-connected voltage and current.