A wind turbine generator winding fault intelligent diagnosis system and method

Abstract

The invention discloses an intelligent fault diagnosis system of a wind turbine generator winding. The system is composed of a data acquisition module, a data analysis processing module, a risk assessment module, a data storage module, a communication module and a power module. According to the intelligent fault diagnosis system disclosed by the invention, the data acquisition module carries out real-time data acquisition to monitor the real-time condition of a generator winding; the intelligent fault diagnosis system is connected with a wind turbine generator main control system to obtain thetemperature of a generator stator winding and operation state data of the generator from the main control system; the data are compared with data under a normal working condition and analysis and processing are also carried out to obtain a potential fault development trend of the wind turbine generator; and then existing winding fault diagnosis empirical data are modularized and the processed data are classified into a plurality of risk levels so as to evaluate the potential fault risk of the winding. Therefore, the fault diagnosis of the wind turbine generator is done intelligently; the diagnosis result is accurate and thus the maintenance, repairing, and replacement preparation is made conveniently in advance; and the shutdown time of the wind turbine generator is shortened.

Description

technical field [0001] The invention relates to the field of fault detection of generator windings of wind power generators, in particular to an intelligent diagnosis system and method for generator winding faults of high-power double-fed wind generators. Background technique [0002] At present, the wind power industry diagnoses the winding faults of doubly-fed wind turbines by setting temperature measuring elements inside the stator windings to monitor the winding temperature, and relying on the converter on the rotor side to realize the alarm of rotor winding faults. [0003] However, the existing doubly-fed generator winding fault diagnosis cannot perform risk pre-assessment on the potential risks of the winding during operation, and is only a passive fault detection. For the stator winding, the state can only be tracked through the temperature change of the winding; for the faults of the rotor winding, such as short circuit between phases of the winding, short circuit t...

AI Technical Summary

Problems solved by technology

[0003] However, the existing doubly-fed generator winding fault diagnosis cannot perform risk pre-assessment on the potential risks of the winding during operation, and is only a passive fault detection

For the stator winding, the state can only be tracked through the temperature change of the winding; for the faults of the rotor winding, such as short circuit between phases of the winding, short circuit to ground, short circuit of the lead wire, etc., it cannot be monitored in real time, and it is often not known until the rotor winding fails

Moreover, the winding faults of the generator mainly include phase-to-phase short circuit of the winding, short circuit to the ground, partial open circuit of the welding of the winding and the connecting wire, breakage of the rotor lead connecting wire, etc., which are sudden faults that require on-site disassembly of the generator for repair.

Once such problems occur, welding in the engine room is required at least, and the generator needs to be replaced as a whole. The fault recovery period is very long, which seriously affects the power generation of the unit

[0004] It can be seen that the above-mentioned existing wind turbine generator winding fault diagnosis system obviously still has inconvenience and defects, and needs to be further improved urgently.

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