Monitoring method and device for algorithm model of wind generating set and computer readable storage medium

Abstract

The embodiment of the invention provides a monitoring method and device for a wind generating set algorithm model and a computer readable storage medium. The method comprises the following steps: s1, acquiring CMS vibration data of the wind generating set in a normal operation state from a vibration state monitoring system of the wind generating set; s2, inputting the CMS vibration data into an algorithm model of the wind generating set to obtain a first state of the algorithm model; s3, adding a failure simulation signal into the CMS vibration data to obtain failure simulation data; s4, inputting the failure simulation data into the algorithm model to obtain a second state of the algorithm model; s5, determining whether the algorithm model needs to be updated or not based on the first state and the second state. According to the embodiment of the invention, the health state of the wind generating set algorithm model can be automatically monitored, and thereby, the manual participation degree is greatly reduced.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of wind power generation, and in particular to a method for monitoring an algorithm model of a wind power generating set, a device thereof, and a computer-readable storage medium. Background technique [0002] With the gradual depletion of energy sources such as coal and oil, human beings pay more and more attention to the utilization of renewable energy. As a clean and renewable energy, wind energy has been paid more and more attention by countries all over the world. With the continuous development of wind power technology, the application of wind turbines in power systems is increasing. Wind turbines are large-scale equipment that convert wind energy into electrical energy, and are usually installed in areas rich in wind energy resources. [0003] Multiple wind turbines are distributed throughout the wind farm, and each wind turbine deploys multiple algorithm models in its appl...

AI Technical Summary

Problems solved by technology

Algorithmic models are often deployed, and the model deployment and verification cycle is long. Moreover, model verification requires a high level of technology. Therefore, at present, tasks with high technical content such as judging the quality of the algorithm model and when the algorithm model needs to be updated generally require It can be done manually, and it cannot be done independently only by the ready-made operation and maintenance manpower, and the algorithm engineers or algorithm scientists who have the technology to complete the work do not have time to cover the status of all wind turbines in the entire wind farm

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