The Fault Diagnosis And Its Application In The Process Of Solar Energy Monitoring

Solar energy has inexhaustible,environmental friendly advantages.In the future,photovoltaic solar power will be the primary source for human access to energy.The solar power stations are widely distributed in the remote areas causing a high maintenance costs.The real-time monitoring and fault diagnosis of PV power plants of various sizes becomes an industrial obstacle.Therefore,it is necessary to design a fault diagnosis expert system to tackle the problem.This paper presents a improved fault tree analysis method.In order to tackle the demits of the fault diagnosis traditional systems in the solar industrial field,the new fault tree analysis method,merges the IF-THEN rules and the expert experience of solar energy system,puts forward to develop the expert system for photovoltaic monitoring and fault diagnosis.The experimental results show that the fault tree analysis method can reflect the uncertainty of the system,and improve the fault diagnosis accuracy of the expert system.In this paper,a probabilistic fault tree is designed for solving the reducing power generation efficiency in PV power plant phenomena.Finally,the formulation of probabilistic fault tree and expert system is used to design a fuzzy reasoning method based on probabilistic knowledge,"filter" heuristic search the expert system.This expert system can provide one or more results of the system failure,to improve the diagnostic robustness of the expert system.Finally,the software of fault diagnosis of PV is implemented by programming.