基于反激变换器的太阳能电池的均衡补偿
[Abstract]:From the analysis of the current energy situation, solar power has become the main trend of energy in the future. Solar energy is a new clean energy, it has inexhaustible advantages, so the study of solar cells is very necessary. In this paper, the main research focus is the photovoltaic panel masking problem and the use of a suitable equalization compensation circuit to improve the energy output efficiency. In this paper, the mathematical model of photovoltaic module suitable for engineering simulation is selected, and the simulation model is built in PSIM to simulate the output characteristics of photovoltaic strings. As we all know, the shade of trees and the presence of dust will cause the problem of solar cells. When the PV panels are connected together, the output power of the whole array of photovoltaic panels will decrease and there will be more peaks when the shading occurs. The output efficiency of photovoltaic panels will be greatly affected. In this paper, firstly, the masking problem of photovoltaic panel is analyzed in detail, and the reason why the output power of photovoltaic panel is decreased is found out. Then, the principle scheme of equalizing using flyback converter is put forward, and the design method of circuit is given. The parameters of flyback converter are designed in detail, and the model of small signal is built, and a reasonable controller is designed. And the principle of maximum power point tracking MPPT is explained and designed. The simulation is carried out in PSIM, and the prototype of flyback equalization is made at the same time. In this paper, DSP is used to control, and the specific chip is the TMS320F28335, of TI manufacturer to complete the program control in DSP. Finally, the prototype is debugged, and the feasibility of the equalization compensation is verified according to the waveform. Flyback converter is used in this paper. It is not only simple circuit, easy to implement, but also low cost. At the same time, the problems of multi-peak and power reduction are solved. Meet the target requirements and realize the function.
【学位授予单位】:北方工业大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TM914.4
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