论文部分内容阅读
As the key equipment for wind and electrical energy conversion,the normal operation of wind turbines is an important aspect of ensuring the steady and stable output of the electric energy.Therefore,it is more and more important to evaluate the operating state of the wind turbine.In order to evaluate the operating state of the fan scientifically and rationally,a method based on the analytic hierarchy process and fuzzy comprehensive evaluation is adopted in this paper.The main idea is to decompose the whole fan into a number of subsystems,and to realize the comprehensive evaluation of the SCADA monitoring index data associated with the sub-system.First of all,the paper constructs the system of the whole running state of the fan,and divides the fan into five parts,the gear box system,the generator system,the converter system,the control factor and the engine room system,and links each subsystem with the monitoring project of the SCADA.Secondly,through the statistics of the fault distribution of the mountain wind field and the consulting experts,the judgment matrix of each subsystem is obtained,so as to get the weight of the influence of each detection index on the running state of the whole fan and the subsystem.Thirdly,for the data obtained from the monitoring projects of different dimensions,the method of computing inferiority is adopted to make them all in(0,1),and the registration of data is realized.Finally,the SCADA data of actual fault fans are adopted.Through the evaluation and analysis of the data,it is proved that the AHP-FCE method can evaluate the running state of the whole fan and its subsystems scientifically and rationally,and can also predict the future running state of the fan according to the trend of the whole fan and its subsystem running state.