Research On Wind Field Opportunity Maintenance Strategy Based On Weibull Distribution

In recent years,China’s energy structure has been constantly adjusted,clean energy has been widely concerned.Among them,wind power generation,as a typical representative of the new energy power generation industry,has been vigorously promoted.While the installed scale continues to expand,China’s renewable energy utilization level is also continuously improving.Wind power generation,as a new alternative energy technology,not only needs to have the advantages of clean,low-carbon and safe,but also needs to have the advantages of economic efficiency and continuously reduce costs in order to focus on the long-term and stable development.Once the wind turbine is put into use,the majority of its operating cost will be inclined to the maintenance cost.The most direct solution to the problem of reducing the maintenance cost is to give full consideration to the maintenance economy and reduce the maintenance cost through reasonable maintenance strategies.Reasonable maintenance optimization strategy can optimize the allocation of manpower,material resources and financial resources involved in the operation and maintenance of wind farms,effectively save the operation and maintenance expenses of wind farms and other resources,and the most important thing is to ensure the safe,efficient and stable operation and maintenance of wind farms.In view of the current development situation of wind power and the traditional maintenance methods of wind turbines,we established a wind farm opportunistic maintenance strategy based on Weibull distribution.Taking the wind farm as a research background,each wind turbine in the wind farm is regarded as a separate individual.Analysis of fan degradation data,using the Weibull distribution as a reliability indicator,through opportunistic maintenance,establish an opportunistic maintenance strategy for each fan in the wind farm based on the Weibull distribution,determine the most suitable maintenance threshold and the number of maintenance,and reduce maintenance Cost purpose.Firstly,the opportunity maintenance strategy model with wind field as the whole is established.Among them,the entire piece of fan of concentrated wind field as a whole system,the wind field of the fan as part of the mutual influence among them when a typhoon motor because of failure to achieve its breakdown maintenance threshold for repairs,and for the rest hasn’t been attained breakdown maintenance threshold but opportunity maintenance threshold fan,whether it is an opportunity for the opportunity to repair work.In this way,the overall maintenance cost can be saved by reducing the rental cost and the fixed maintenance cost of each maintenance work.Next,choose weibull distribution function.Considering that the third stage of weibull distribution is the loss failure period,the failure rate of this stage increases rapidly with time,mainly caused by wear,fatigue,aging and wear,the failure formation mechanism of wind turbines is exactly in line with the failure rate distribution stage of this stage.In order to accurately establish the failure rate model of the equipment,the weibull distribution model needs to be established based on the fault sample data generated during the operation of the equipment,and then the least squares linear regression method is used to accurately estimate the shape parameters of weibull distribution.Finally,in obtain each fan vibration data,based on the analysis of vibration data to extract the effective characterization of its degradation state characteristic value,setting the degradation curve of the air blower,through the wind field the opportunity for the fan maintenance threshold setting,number as the goal,to save cost and maintenance maintenance threshold wind field opportunities for constraint maintenance model,calculate and determine the wind field some point to the most appropriate threshold for the number of repair and maintenance,makes the wind field maintenance cost is more reasonable.The feasibility of the model is verified by a numerical example,which can obviously help to reduce the cost of operation and maintenance of wind turbine and provide guidance for actual wind field maintenance.