| Xinjiang is rich in land and resources,and the development of facility agriculture is very fast.However,because the facility agriculture base is located in a remote place,the location is scattered,the power supply is difficult,and the cost of setting up wires is high,which hinders the development of facility agriculture.However,Xinjiang is rich in sunshine.Combined with the unique regional advantages of Xinjiang production and Construction Corps,the development of solar energy resources and the installation of agricultural power supply are combined,which not only reduces the consumption of traditional energy,reduces pollution,but also facilitates the power supply of farmers and reduces costs.Aiming at the control system of facility agriculture photovoltaic power supply in Xinjiang,this paper studies the photovoltaic power generation system suitable for greenhouse facility agriculture.According to the actual needs of farmers,this paper designs the photovoltaic power supply system of agricultural facilities shed,focuses on the research of temperature and humidity control photovoltaic power supply system,selects the hardware composition of temperature and humidity control system,and determines the power of components according to the actual situation.At the same time,due to the influence of materials and operation environment,the output power of photovoltaic cells is nonlinear,which leads to the unstable load.Through the efforts of researchers,the concept of MPPT technology is proposed to reduce the losses of photovoltaic cells caused by environmental changes.The aim of this paper is to supply power for temperature and humidity of agricultural facilities,and take the MPPT of photovoltaic power generation as the research object.Based on the principle of maximum power point tracking technology,several common MPPT algorithms are analyzed and compared.According to the actual situation of Xinjiang facility agriculture temperature and humidity control photovoltaic power supply system,the MPPT algorithm based on Fuzzy-INC is proposed by combining fuzzy control algorithm and INC algorithm.According to the principle of fuzzy control algorithm and INC algorithm,the model of fuzzy-INC algorithm is built on MATLAB/Simulink,and the improved MPPT algorithm is simulated.By comparing the output curves of fuzzy-INC algorithm,fuzzy control algorithm and INC algorithm in two different environments,it is concluded that the output power of fuzzy conductance increment algorithm is the highest,and the output efficiency reaches 98.1%,which proves the rationality and superiority of fuzzy conductance increment algorithm in theory.On the basis of simulation,the photovoltaic power generation test platform is built,and the control unit and peripheral modules are designed.Finally,the output voltage and current of the three algorithms are collected and the three-dimensional power diagram is drawn.Compared with the fuzzy algorithm,the power loss of the algorithm is the smallest and the actual output efficiency is 97.2%.It can fully meet the power supply demand of the greenhouse,and highlights the correctness and the advanced nature of the fuzzy conductance incremental algorithm from the tracking speed and output accuracy. |
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