Method for evaluating real-time output performance of large wind turbine generator

Abstract

The invention discloses a method for evaluating real-time output performance of a large wind turbine generator. The method is based on a data set recorded by a data acquisition and monitoring control system in a normal operation state of the wind turbine generator, an outlier detection method using a sliding window technology is designed, a feature extraction model with time information extraction is also designed, an XGBoost model is selected to fit an equivalent mathematical model of a wind energy utilization coefficient and an input feature, and an overrun degree in a training set is counted for real-time evaluation of the output performance during online application. According to the real-time output performance evaluation method, each data point can be judged for multiple times, and the outlier degree of the data point is counted for outlier detection, so a more robust and more flexible detection result is obtained; variable time dependence is considered in feature extraction, so the problem that a machine learning XGBoost model does not utilize time information is solved; and the overrun degree of the training set serves as an online real-time evaluation basis, so interference of human subjective factors is avoided, and evaluation accuracy is guaranteed.

Description

technical field [0001] The invention relates to an evaluation method for real-time output performance of large-scale wind turbines. Based on the data set of normal operation status of wind turbines, an outlier detection method is designed, and a self-encoding model with time information extraction is designed for feature extraction, thereby fitting wind energy utilization coefficients. Equivalent mathematical model with input features, real-time acquisition of wind energy utilization coefficient for wind turbine output performance evaluation. Background technique [0002] With the continuous development of society, high energy-consuming enterprises are increasingly consuming non-renewable energy such as oil and natural gas. The world has experienced energy shortages and environmental pollution problems caused by the consumption of non-renewable energy. Therefore, the development of clean, Renewable energy has become an effective way to solve energy problems. As a kind of re...

AI Technical Summary

Problems solved by technology

However, the rapid development of the wind power market in recent years has also led to insufficient preparation during the research and development period. Insufficient preparation and the complex and changeable operating environment of wind turbines have led to a high failure rate of wind turbines and high operation and maintenance costs of wind turbines.

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