Parameter Identification And Applicatiaon Based On Phototovoltaic Cell Model

With the blind use of non-renewable energy,the energy crisis has been gradually approaching,countries have been industrial structure to the direction of renewable energy.China attaches particular importance to the development of new energy,and to this end,the introduction of various policies to promote new energy in technology and scale leading the world.Solar energy is known as the cleanest energy,from the introduction of photovoltaic effect theory to large-scale production of photovoltaic power plants,the development of photovoltaic technology has matured.With the gradual development of china's photovoltaic power generation industry,the quality,life and photovoltaic conversion rate of photovoltaic cells have become more and more key factors restricting their development.Therefore,in order to further promote the development of China's photovoltaic industry,improve the quality of photovoltaic cells,extend photovoltaic battery life,increase photovoltaic conversion rate,it is necessary to study the internal parameters of photovoltaic cells and internal parameters on the external characteristics of the impact.At present,most scholars on the study of photovoltaic cells are based on the external characteristics of photovoltaic cells on the basis of in-depth analysis,through the change of the external current voltage of photovoltaic cells to carry out a simple description of the electrical characteristics of photovoltaic cells,although the quality of photovoltaic cells,life,photovoltaic conversion rate can be a simple assessment,but these can not show the relationship between the internal parameters of photovoltaic cells and external characteristics,nor suitable for the application of photovoltaic cells in the field of high-quality applications.At present,the diagnosis method of photovoltaic cell electrical signal and infrared image diagnostic method are widely used.These two types of methods are based on the external characteristics of photovoltaic cells to detect faults,in contrast,this paper from the photovoltaic cell internal parameters as the entry point,to the input and output of the current voltage as the data source,the establishment of photovoltaic cell single second-level light model,from the inside of photovoltaic cells to study the impact of photovoltaic cell failure parameters changes,and the various faults of photovoltaic cells quantitative description.Because the traditional single-diode photovoltaic cell model is constructed from an I-V nonlinear transcendence equation,the traditional mathematical method is difficult to solve the equation and is not favorable to the study of the internal mechanism and external characteristics of photovoltaic cells.In order to explore the relationship between the internal parameters of photovoltaic cells and the external characteristics of photovoltaic cells,this paper introduces the artificial bee population algorithm and optimizes the local search of the artificial bee population algorithm,so as to better realize the identification of the parameters of photovoltaic cells and solve the problem of solving the problem of nonlinear transcendence equations.In addition,this paper also uses particle group algorithm,particle group improvement algorithm,or chaotic particle group algorithm,to identify the parameters of photovoltaic cells,and better analyze the advantages of the improved artificial bee population algorithm in the method of parameter identification of photovoltaic cells.Then,the parameter identification of photovoltaic cells under different operating conditions is carried out by the improved artificial bee population algorithm,and the corresponding ?-? graph is drawn,which provides the reference basis for the parameters of photovoltaic cells under normal operation,and the theoretical basis for the application of fault diagnosis for the identification of photovoltaic cell parameters.The focus of this study is to quickly and accurately identify the parameters of the photovoltaic cell,and apply the identified parameters to the sample data for fault diagnosis.Using the correspondence between the parameters of the photovoltaic cell and the type of fault,establish a fault diagnosis model and complete the fault diagnosis.In order to better reflect the application value of photovoltaic cell parameter identification,this paper takes four common types of photovoltaic cell failure,such as normal,short circuit,open circuit,and aging as the research object.First,explore the relationship between the type of failure and the parameters of the photovoltaic cell and establish a simulation model of photovoltaic cell failure based on this rule.Secondly,the current and voltage output from the fault are used for parameter identification,and the identification result is used for the fault diagnosis sample set,and then the fault sample is trained.Finally,through different test samples to classify the fault type,verify the accuracy of the diagnosis model.