The Research On Fault Diagnosis And Information Management System Of Photovoltaic Module

In order to ensure the operation of photovoltaic and tandem components is safe and reliable,it's necessary to monitor photovoltaic modules.An intelligent system based on particle swarm optimization for on-line monitoring fault diagnosis of PV modules is developed in this paper.It is not only helpful managers to effectively manage the operation information of PV generation equipment,but also accurately judge and reflect the real-time condition of PV station's specific single component,plays warning of potential danger in time,meets the needs of daily operation of PV plants and fault repairing,effectively improves the inspection efficiency.On the basis of studying the fault diagnosis technology and theory methods of PV station,a kind of wavelet neural network algorithm optimized by PSO for fault diagnosis of PV modules is summarized.It can achieve accurate fault diagnosis for each block assembly,the efficiency of PV plant inspection and fault diagnosis of the success rate is effectively improved.The thing is established that the success rate of wavelet neural network algorithm increases from 86% to 94% after optimization,the success rate is higher than the BP neural network algorithm at the same conditions.This paper analyses functional requirements of the fault diagnosis of intelligent system PV modules,establishes four major functional modules: user management,photovoltaic equipment information management module,fault diagnosis module and warning module maintenance and repair history,selects Microsoft Visual C++ 6.0 as the design tool,uses Oracle as the background database for system design and the related database tables,interfaces the communication transmission schemes of TCP/IP interaction mechanism designed with C/S design pattern and ADO database access.According to the program flow chart of each function module,the design of fault diagnosis intelligent system for PV modules is completed.The test results show that the system is practical,beautiful and practical interface,has a high speed and accuracy results of fault diagnosis,can intuitively reflect the current real-time condition of PV modules and meet functional needs,has higher practicability.