Study On The Evaluation And Prediction Of The Icing State Of Wind Power Equipment Blades In Xinjiang

Wind energy,as a rapidly developing renewable energy,has the prospect of large-scale development and commercialization.China’s wind energy reserves are rich,and the wind energy industry leads the world.Wind power equipment operating conditions in our country,the wind farm is located in high altitude alpine region and the southeast coastal areas,wind power equipment blade ice problems for the healthy development of China’s wind power industry caused great distress,also can affect the safe and stable operation,reduce the service life of the blade,at the same time will reduce the unit capacity,increase the cost of the unit operations.Aiming at the problem that ice covering the blades of rotating wind power equipment affects the healthy and efficient operation of the unit,this paper set up rotating blade vibration test-bed ice wind power equipment,use of wind power equipment leaf ice test data to carry out the relevant leaf ice condition assessment and prediction research,aimed at to evaluate wind power equipment state of ice blade,and the short-term wind power equipment blade to predict the state of ice.Proportion to 1:12.5 the entity of wind power equipment model is set up as the research object,and set up a rotating blade vibration test-bed ice wind power equipment,with temperature,humidity,wind speed,running time for influence factors,the four factors three levels orthogonal experiment was designed with the environment(incentives)wind and multi-point vibration picking method for modal test.Taking the maximum vibration frequency and ice cover thickness as evaluation indexes,the influence of four factors on the vibration characteristics of wind turbine blades with ice cover was analyzed.The results show that under the same ice cover condition,the thickness of ice cover is unchanged,and the vibration frequency of rotating wind power equipment blade decreases gradually from tip to root.With the ice cover position unchanged and the thickness of ice cover increased,the vibration frequency of rotating wind power equipment blades gradually decreased.The ambient temperature and humidity of rotating wind power equipment blade have a great influence on its vibration frequency.For further analysis of ice under the condition of rotating wind power equipment and displacement response of the blade vibration mode change,wind power equipment of 3D model is established,by using ANSYS software on the harmonic response analysis,the analysis results show that the blade vibration mode under different ice state change has no obvious difference,ice thickness increase,the blade displacement response values are increased.In order to accurately assess the ice-covering status of blades of rotating wind power equipment,an ice-covering status assessment model of blades of rotating wind power equipment was established based on the ice-covering vibration test system of rotating wind power equipment,combined with support vector machine and fuzzy control method.Under the condition of icing,root mean square RMS,time-domain peak XP,velocity V and displacement S of the blade vibration frequency of rotating wind power equipment are selected as the input of support vector machine,and the thickness of icing on the blade is selected as the output.By using the trained status assessment model to test the 20 groups of sample data(4 types of icing conditions),the assessment accuracy reached 100%,80%,100% and 100% respectively.The test results show that the calculated value of ice-covering thickness of rotating wind power equipment blade is basically consistent with the test value,which verifies the accuracy of the model.According to the influence of ice-covering factors on ice-covering thickness of wind power equipment blades,a multivariate prediction model of rotating wind power equipment blades was established by combining grey prediction theory.Based on the theory of BP neural network,the operating environment factor of wind power equipment is the input,the characteristic value of blade ice cover vibration is the intermediate variable,and the thickness of blade ice cover is the output,the prediction model of blade ice cover of wind power equipment is established.Comparison of the prediction results of the two models shows that the calculation error of the gray multiple prediction model(5.25%)is lower than that of the BP neural network model(11.83%).Finally,the ice-covering disaster prediction of wind power equipment blades is carried out by using the short-term ice-covering measurement data.The prediction model established in this paper is verified by the ice-covering test of wind power equipment blades.The results show that the prediction model established in this paper has good predictive performance for ice-covering of wind power equipment blades.