Research On Tracking Algorithm Of Maximum Power Point Of PV Array Under Partial Shading Conditions

With the rapid economic and social development and the continuous progress of mankind,traditional non-renewable energy sources such as coal,oil,and natural gas have fallen into serious crises worldwide,and the environment is also deteriorating.Therefore,the development of new energy sources is imminent.The level of new energy power generation technology in various countries and regions around the world is rapidly advancing,including solar power,wind power,tidal power,and nuclear power.Among them,solar power has the advantages of being clean,convenient,and inexhaustible.Much favored.It is very regrettable that due to the strong non-linearity of the output of the solar cell,and it is extremely susceptible to external factors during power generation,such as the sun's radiation intensity,temperature,humidity,etc.,among which the sun's radiation has the greatest impact.Intensity.In rainy days or heavy haze,solar cells may not even have output power.At the same time,in sunny weather,due to the shadows formed on the surface of buildings or trees around the solar cells,or there are a large number of solar cells on the surface.Dust can cause large fluctuations in the output power of solar cells,and even several maximum power points(MPP)appear.If one of them falls into a local maximum power point,the work of solar cells will be greatly reduced.Efficiency,therefore,it is necessary to perform Maximum Power Point Tracking(MPPT)on the solar cell to improve the working efficiency of the solar cell.In order to smoothly track the maximum power point,this dissertation uses MATLAB/Simulink to build a solar cell model,and series and parallel to form a photovoltaic array.At the same time,a variety of local shading conditions are set to determine its power-voltage(P-U)and current-voltage(I-U)characteristic curve,and an experimental platform is set up to measure the output characteristic curve of the solar cell more accurately.In order to be able to accurately track the global maximum power point(GMPP)of the solar cell,the output characteristics of the solar cell The curve is analyzed in detail to determine where the global maximum power point may appear,and then the improved perturbation observation method is used to track the maximum power point in different regions to obtain the global maximum power point.In order to verify the method proposed in this dissertation,a model is built in MATLAB/Simulink for simulation verification,and the results are compared with other global maximum power point tracking methods.The results show that the method proposed in the paper has certain improvements in tracking speed and accuracy.The validity of the method is verified,and the output efficiency of the solar cell can be significantly improved.