| With the rapid development of the global economy,environmental pollution and energy crisis highlights the development of new energy can be particularly important.In all kinds of new energy,solar energy has developed rapidly with its unique advantages.In the use of solar energy,photovoltaic power generation has been popular,but there is a common problem of low solar energy conversion efficiency.This paper studies the problem of how to increase the efficiency of solar energy conversion:Maximum power point tracking is an effective way to improve the efficiency of solar energy conversion.In this paper,the research status and future development trend of maximum power point tracking technology are introduced in detail.The equivalent circuit of the photovoltaic cell is studied and the mathematical model of the photovoltaic cell is given.Several commonly used MPPT algorithms are given,such as constant voltage tracking method,disturbance observation method,conductance increment method,fuzzy logic control method,neural network algorithm and so on.On the basis of in-depth study of the advantages and disadvantages of the traditional algorithm,the wavelet neural network MPPT algorithm is proposed,and the experimental data processing and analysis are carried out by MALTAB to verify the validity of the algorithm.Based on this new algorithm on the MPPT algorithm control circuit is studied,the control of DC/DC converter in electroplating selection and research,select the BUCK circuit as DC/DC transform circuit,and studies the BUCK circuit inductance material,skeleton structure,wire winding,wire diameter of the impact on the system energy conversion efficiency.According to the actual situation of the MPPT control circuit of the reference voltage PWM drive circuit to raise PWM output waveform design,the control circuit can work normally,the sample data by using MPPT control circuit and experimental equipment design of the experimental system is built by the wavelet neural network MPPT algorithm to obtain.This paper analyzes the advantages and disadvantages of the traditional MPPT algorithm,the proposed wavelet neural network MPPT algorithm combined with MPPT control circuit to obtain measurement data algorithm for the sample training,the training results show that the wavelet neural network MPPT algorithm can accurately predict the maximm power point of the system,can improve the efficiency of energy conversion.This provides a reference for the design of small solar system. |
