MPC Based Maximum Power Tracking Of Photovoltaic Power Station

Nowadays,the problems of environmental pollution and energy shortage are becoming more and more serious,the utilization rate of resources needs to be improved,and the energy structure needs to be adjusted.In recent years,with the promotion of policies and the enhancement of environmental protection awareness,the technology and industrial development of renewable energy such as solar energy and wind energy are constantly improving.However,there are still some areas that need to be improved in the stability control and time-varying factor analysis of photovoltaic power generation technology.Therefore,this paper studies the photovoltaic power generation control technology.Firstly,the structure of solar cell is introduced,and its working principle is analyzed from the micro and macro perspectives.The environment and influencing factors of distributed photovoltaic power generation are described,and the influence of different factors on the process of photovoltaic power generation is systematically analyzed.According to the meteorological data such as light intensity,wind speed and temperature,the correlation analysis of these meteorological factors is carried out by using statistical methods,and the main factors affecting the power generation performance of photovoltaic system are determined by using principal component analysis,and the effects of different factors are analyzed;According to the working principle of photovoltaic cell,the mathematical model which can accurately describe the photovoltaic cell power generation process is constructed,and the simulation model of photovoltaic cell is built by using Matlab / Simulink software;On this basis,the output characteristics of photovoltaic source end are analyzed,which lays a foundation for the follow-up analysis of multi peak characteristics of photovoltaic array,the research of maximum power point tracking algorithm,and the research of photovoltaic system control technology.Secondly,the concept,principle and characteristics of maximum power point tracking(MPPT)algorithm are summarized,and the control principles of two typical model predictive algorithms: dynamic matrix control and model algorithm control are described.Model predictive control(MPC)can predict the next control effect,optimize the control in advance and improve the system stability.This paper analyzes the output characteristics of photovoltaic cells under partial shadow.The model predictive control strategy is described according to the elements;The adaptive variable step conductance increment method is used to track the maximum power of photovoltaic cells,and then the output voltage of the converter is predicted by using the model,and compared with the objective function of the previous time value to judge whether to change and enhance the power tracking effect.Finally,the mathematical model and calculation process of variable step incremental conductance method based on MPC are analyzed.The output of photovoltaic cell under partial shadow is simulated.The tracking effect of different MPPT algorithms on the output power of photovoltaic cells is simulated and analyzed when the environment changes.The MPC based variable step incremental conductance method is used to simulate and analyze the output power of photovoltaic cells,and the tracking speed of the established model is improved compared with the ordinary incremental conductance method.