Monitoring system based on electric information for health status of wind driven generator and monitoring method thereof

Abstract

The invention discloses a monitoring system based on electric information for the health status of a wind driven generator and a monitoring method thereof. The monitoring system comprises a wind driven generator data acquisition module, a signal preprocessing module, a signal processing module and a monitoring output module. The monitoring method disclosed by the invention comprises the followingsteps: (1) acquiring wind driven generator environmental data, running status physical quantity and output electric information from the wind driven generator; (2) processing the wind driven generator environmental data and the running status physical quantity acquired by the wind driven generator data acquisition module, estimating to obtain the due output power of the wind driven generator, comparing the due output power with actual output power, and if the deviation is overgreat, outputting an alarm signal; and (3) processing a wind driven generator output current signal acquired by the wind driven generator data acquisition module. By adopting the monitoring system based on the electric information for the health status of the wind driven generator and the monitoring method thereof, the health status of the wind driven generator can be efficiently and economically monitored, mechanical failure and electrical failure can be monitored simultaneously, and a sufficient and reliable safety guarantee is provided for the wind driven generator.

Description

technical field [0001] The invention relates to a wind power generator health state monitoring system for monitoring the wind power generator health state. The system can efficiently monitor the health state of the wind power generator set. The present invention also relates to a monitoring method using the above wind power generator health status monitoring system. Background technique [0002] my country's wind power generation is developing rapidly, but it faces the challenge of frequent failures in the initial stage. The survey report shows that the average annual power generation time of hundreds of wind turbines in a certain 7 wind farms is about 20% different from the specified time, and the resulting economic loss of power generation has reached 170 million yuan, and the reason is downtime. If the maintenance cost is calculated, the economic loss will increase exponentially. [0003] The wind power industry expects to transform from extensive management to intensiv...

AI Technical Summary

Problems solved by technology

This method requires a lot of investment and high technical requirements, and has strict requirements on the signal acquisition environment, so not many are actually put into practical use.

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