Wind generating set monitoring system based on physical component model and real-time data

Abstract

The invention relates to the field of engine testing, and provides a wind generating set monitoring system based on a physical component model and real-time data. A wind condition input module receives real-time wind condition information obtained by a power plant, and the real-time wind condition information is respectively transmitted to a control system and a blade physical simulation module. The control system sends a yaw system control strategy to a yaw control module and sends a variable pitch system control strategy to a variable pitch control module, and information of a rotation angle, angular speed and angular acceleration of a cabin is generated by the yaw control module and transmitted to the blade physical simulation module. Information of a rotation angle, angular speed and angular acceleration of a blade is generated by the variable pitch control module and transmitted to the blade physical simulation module. After the blade physical simulation module integrates the obtained information with blade stress and stress toque information, information of target torque, target rotation speed and target angular acceleration of the blade is obtained and transmitted to a transmission module, and the transmission module outputs electric power information. The wind generating set monitoring system provides dual verification for prediction of performance failure of a wind generating set.

Description

technical field [0001] The invention relates to a system in the field of engine testing, in particular to a monitoring system for wind power generators based on physical component models and real-time data. Background technique [0002] According to the World Wind Energy Association (WWEA) in 2010, by the end of 2010, the global wind turbine power generation accounted for 2.5% of the global electricity consumption, reaching 430TWh, which is greater than that of the world's sixth largest economy, the United Kingdom (60 million people). Total annual electricity demand. It is estimated that by 2020, the total installed capacity in the world will exceed 1,500,000MW. As of the end of 2010, my country has become the country with the largest installed capacity of wind energy and the center of the international wind energy industry. The new installed capacity in 2010 is expected to reach 18,928MW, which will exceed 50% of the global annual new installed capacity. In the case of w...

AI Technical Summary

Problems solved by technology

However, this automatic diagnosis method is very dependent on the accuracy and completeness of the established feature database, and the engineering of signal processing is also completely dependent on the accuracy of the algorithm.

For newly-built wind turbines that lack databases and fault types that lack theoretical basis and algorithms, this diagnostic method cannot achieve the expected fault detection effect

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