Research On Multi-peak MPPT Of Photovoltaic System Under Complex Illumination

With the rapid development of modern economy,science and technology,the fossil fuel-based traditional energy supply is going in short supply.Along with the limitation of traditional energy,the energy problem is becoming more and more serious.In recent years,solar energy as a new type of green energy,attracts more and more attention.Solar photovoltaic power generation,which is also called photovoltaic power generation,can convert solar energy directly into electricity,in order to make full use of solar energy,this paper studies tracking the maximum power of photovoltaic power generation system.The main contents are as follows:Firstly,this paper present the principle of photovoltaic cell,builds up cell simulation models with Matlab.Then the simulated output current-voltage characteristic curves of the cells with different shade areas are studied.The output characteristic curves of photovoltaic panels are also studied by mathematic model setup in this paper.Advantages and disadvantages of different MPPT tracking models are analyzed.Secondly,this paper introduces the artificial neural network model.BP neural network is studied to predict the maximum voltage power point with different shadow shading using the measured data of Lingang,Shanghai.The simulation results showed that the BP neural network is more error-prone in forecasting.The BP neural network is optimized to enhance the accuracy of tracking the MPPT point using genetic algorithm.Thirdly,the hardware circuit is designed based on the theoretical analysis and parameter calculation.DSP is used as the main control chip to realize algorithm process.Design scheme is introduced in detail,and relevant experiments are done,experimental results analyzed.