Research On Preventive Maintenance Decision Technology Of Clean Energy Power Generation System

The installed scale of clean energy represented by hydropower and wind power is expanding rapidly in China.At the same time,the market-oriented reform of domestic power is deepening.As the main force of clean energy power generation,hydropower and wind power have become the new market bidding subject in advance.Therefore,the traditional after maintenance and undifferentiated plan maintenance strategies can no longer meet the requirements of reliability and economy of power generation system operation and maintenance under the market-oriented system Ask.Preventive maintenance strategy is one of the most active research contents in the field of equipment maintenance strategy,which has been carried out in the traditional nuclear power and thermal power fields.However,in the field of hydropower and the rapid development of wind power in recent years,there has not been a systematic application case of maintenance strategy.Reliability centered maintenance(RCM)is a popular maintenance strategy theory in the field of preventive maintenance strategy research in recent years,but the traditional RCM theory is mainly applied in the field of aviation equipment and weapon equipment,and it is difficult to directly copy and use it to meet the current domestic requirements of preventive maintenance decision-making of clean energy power generation system.The goal of this paper is to carry out the application research of preventive maintenance strategy of power generation system based on RCM theory based on the actual operation of hydropower and wind power generation equipment,aiming at the actual shortcomings of subjective factors,lack of objective quantitative data and single decision-making consideration factors in the implementation of traditional RCM theory,and improve the quantitative method of fault hazard degree that affects preventive decision-making Through in-depth research and analysis of key technologies realized by degree quantification method and equipment importance evaluation method,RCM decision-making theory can become a compound factor preventive maintenance decision-making method which can effectively include the hazard factor,reliability factor and equipment importance factor of power generation equipment fault.Main research contents:This paper analyzes the basic theoretical model of RCM,and finds out the practical shortcomings of traditional RCM,such as excessive subjective factors,lack of objective quantitative data and single decision-making factors.According to the practical defects of the application of RCM basic theory in the field of hydropower and wind power,according to the implementation requirements of RCM theory,this paper studies the three influencing factors of equipment failure hazard,equipment reliability and equipment importance that affect the formulation of preventive maintenance strategy of clean energy power generation system,constructs the RCM decision-making model integrating the three influencing factors,and finally establishes the auxiliary decision-making of preventive maintenance System.(1)in view of the complex function and structure of clean energy power generation system,based on the actual operation data of hydropower and wind power generation equipment,the failure mechanism,failure mode and consequence impact of each subsystem and component of hydropower and wind power generation system are studied,and the failure mode effect and criticality analysis based on grey theory is proposed Is FMECA)analysis model,gives the evaluation method and solution algorithm of the fault hazard degree of hydropower and wind power generation equipment,and according to the actual application feedback,the example shows that compared with the matrix diagram method used in the traditional RCM theory,it has higher accuracy of the equipment hazard degree discrimination,and expands and optimizes the content of the traditional FMECA analysis table in the engineering application.(2)in view of the problem that the calculation accuracy of reliability quantification index is poor under the condition of small samples of historical faults in current clean energy power generation system,a quantitative function model of power generation equipment reliability based on Weibull distribution of support vector regression machine is proposed,and the macro and micro reliability quantification index system of hydropower and wind power generation system is constructed based on the actual operation data Compared with the traditional Weibull distribution function algorithm,the results show that the function model algorithm based on support vector regression machine has higher evaluation accuracy.(3)in view of the problem that it is difficult to evaluate the importance of each subsystem and component of the clean energy power generation system quantitatively,through the research on the influencing factors of the importance of each subsystem and component of the power generation system,through the comprehensive investigation of the operation and maintenance personnel of the power plant and the analysis of the statistical results of the operation and maintenance data,the equipment importance evaluation system including 9 influencing factors is designed and combined with the actual operation dimension of the power generation equipment According to the specific score results of each influencing factor,an equipment importance evaluation method based on the Monte Carlo theory model is proposed,and an equipment importance evaluation system of each subsystem and component in the clean energy power generation system is established to obtain a more comprehensive equipment importance level of the clean energy power generation system.(4)based on the research results of the above key technologies of equipment hazard,equipment reliability and equipment importance,this paper introduces the entropy theory model and constructs the RCM decision-making method of clean energy power generation system based on the entropy theory model.In the implementation process,the improved equipment failure hazard evaluation factors,equipment reliability quantification factors and equipment importance factors are effectively integrated.RCM decision-making process has been improved and optimized.Compared with traditional RCM decision-making results,the decision-making results are more in line with the actual operation and engineering application requirements.(5)based on the above evaluation and decision-making model results,an auxiliary decision-making system for preventive maintenance of power generation equipment based on RCM decision-making model of entropy theory is developed by using database,data interface and other technologies.As a general decision-making platform for maintenance of clean energy power generation equipment,the system integrates the function of fault data import and statistical analysis,and the effect of fault mode And the functions of hazard analysis,reliability analysis,equipment maintenance decision and optimization are integrated to realize the preventive maintenance decision support for clean energy power generation system and its subsystems and components.