There will be a secondary intelligent analysis about the fault diagnosis data of the whole station, then the string, square matrix and whole station analysis reports can be automatically generated, covering different use requirements of users.
The intelligent diagnosis algorithm of IV curve integrated with AI can diagnose 15 kinds of module faults with high precision, such as hot spot, shadow occlusion, broken glass and hidden cracks.
Voltage scanning accuracy: 0.5%; Current scanning accuracy: 0.5%; Scanning accuracy compliance rate: > 95%; Scanning time of 100MW power station: ≤15min;
The system can quantify the power loss of fault strings, support O&M personnel to manage equipment from multiple dimensions of fault types and fault degrees, and accurately guide on-site O&M work.
The system supports string parameter configuration and classified diagnosis of different types of modules. It makes data configuration and calculation more precise and flexible, and can support complex application scenarios where multiple modules are mixed.
The system adopts the intelligent diagnosis algorithm supported by the invention patent, while the fault diagnosis process does not depend on the reference strings. It supports different terrains such as flat land and mountain land, supports monocrystal, polycrystalline, single-sided, double-sided and imbricated modules, and supports systems with different voltage levels. Thus it has a high adaptability.
The system has reached the highest technical level (Level 4) in the industry through on-site verification and witness. The accuracy of class I fault diagnosis can reach 100%, and the accuracy of class II fault diagnosis can reach 95%, being in the lead in the industry.
During the construction of this PV project, some square matrices had mixed modules. During the application of IV diagnosis system, data management and data diagnosis may be carried out according to the actual situation on site. After on-site verification, the system correctly diagnosed the hot spot fault caused by dust in power station, helping the owner to realize lean management of PV power stations.
This PV project is an application scenario of 1500V double-sided modules with large silicon wafer. During the application of IV diagnosis system and after on-site verification, the system correctly diagnosed the fault of high internal resistance of strings caused by virtual connection of MC4 plug and the hot spot fault of modules caused by incomplete cleaning of outer packaging, which helped the owner to quickly locate the modules subject to poor construction quality.
This PV project is a hilly landform application scenario of 1000V. During the application of IV diagnosis system and after on-site verification, the system correctly diagnosed many hot spot faults on modules caused by dust and many module detachment faults caused by high wind, which helped O&M personnel to quickly locate the faulty modules and improved work efficiency.
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