Research On Fault Model Of PV Cell Based On Two-parameter Determination

Energy is an important source of social development and people's high quality of life,including industrial production and daily life and so on.However,with the rapid development of science and technology,people's~'desire have no time to expand.On the one hand,people under the guise of the name of the pursuit of high quality of life,on the one hand is to ignore the deterioration of the environment,but the visionary wise men early discovered the importance of the development of clean energy,the solar energy has become the first choice.Today the solar industry is developing rapidly,making the fault diagnosis is very important.But most of the PV module fault diagnosis method is a method only for specific fault types,a comprehensive test method is more important.In addition,a lot of diagnostic methods need specific diagnostic conditions,such as no light at night or outage and other conditions.So it is important that there is a real-time and on-line fault diagnosis method for solar cells.This paper presents the method of fault diagnosis based on two parameters of PV modules.Two important parameters of PV modules are proposed,namely,the absorption rate(?)and the temperature of PV modules(T_m).The absorption rate of PV modules is the proportion of light energy absorbed by PV modules.The?can be a good way to study the absorption capacity of PV modules due to a series of aging.The Tm estimation can solve a variety of reasons lead to the problem of high temperature of PV modules.In this paper,an experimental hardware system circuit for the parameter identification of photovoltaic cell model based on STM32F103 is set up.Polyethylene film layer by layer is to simulate different?.Adaptive chaotic particle swarm optimization algorithm can quickly and accurately identify the parameters of the solar cell model,in order to establish the relationship between the T_m model and the absorption rate.