The Operation And The Maintenance Of The Key Components Of The Large Wind Turbine System Research On The Decision Optimization

As a clean and green renewable energy,the wind energy has a great significance in promoting energy reform,reducing the environmental pollution and solving the energy shortage.As a core equipment of the wind power system,the role of the wind turbine is to convert wind energy into the mechanical energy,and then driving the generator to generate electricity through the main shaft to convert mechanical energy into the electrical energy.The structure of the wind turbine is complex and the working environment is bad.The effective maintenance of the wind turbine is the premise to ensure the effective use of the wind energy.Therefore,with the supporting of the National Natural Science Foundation Project Research on structural performance degradation mechanism of variable stiffness wind turbine blading under the typical wind resource environment in Northwest China(No.51965034)and the Lanzhou talent innovation and Entrepreneurship Project health assessment and intelligent decision optimization for mechani cal equipment operation and maintenance(No.2018-RC-25),this work takes megawatt wind turbine parts as the research object,and studies the single component system.The joint strategy optimization of condition based on the maintenance and the spare parts inventory of the multi component system aims to solve the problem of the maintenance and inventory decision optimization of the parts in wind turbine system.The specific research contents are as follows2:(1)This work summarizes the history and the curr ent situation of the wind power generation at home and abroad,as well as the future development trend and direction.This work introduces the composition structure and the operation characteristics of the wind turbine.By collecting the SCADA datas(domes tic wind turbine of a wind farm in Gansu),taking the maintainability as the angle,the wind turbine composed of the multiple components is taken as the object,and the periodic detection methods such as condition based on the detection and the effective a ge of the components are adopted to study the system dynamics at each detection point.Considering the operation and maintenance cost of the system,according to the detection results,the more reliable method is adopted in order to find the optimal detect ion cycle and the minimum operation and maintenance cost of the wind turbine,the branch and bound algorithm is used to solve the model,and the effectiveness of the model and the algorithm is verified by a case.(2)Based on the condition and the maintena nce(CBM),this work studies the joint decision-making problem of single component maintenance and the spare parts inventory of the wind turbine system.Taking the key components of the wind turbine as an example,through genetic algorithm,considering the delay of the spare parts,periodic deterioration state of components and the inventory detection stating of the spare parts in maintenance activities,combined with the two maintenance methods(preventive maintenance and post maintenance)and the two orde ring methods(regular ordering and emergency ordering),a simulation optimization model for the total cost of a single component in the maintenance activities is established the optimal detection period,the preventive maintenance threshold and the spare p arts ordering threshold are obtained,and the optimal maintenance and the spare parts inventory scheme of single component is obtained.(3)Based on the condition and the maintenance(CBM),the joint decision optimization problem of the maintenance and the spare parts inventory for the multiple wind turbines and components is studied.Through genetic algorithm,considering the delay of the spare parts in the maintenance activities,combining with the two kinds of maintenance methods(preventive maintenance and post maintenance)and the two kinds of spare parts ordering methods(routine ordering and emergency ordering),a simulation optimization model for the total cost of multiple wind turbines and components in maintenance activities is established,and the optimal detection cycle,preventive maintenance threshold and spare parts ordering threshold are obtained.Finally,a case study is conducted to verify the effectiveness of the model and algorithm.Through the use of genetic algorithm,the cycle detection method and the other methods and principles,to solve some problems encountered in the maintenance way and the spare parts inventory during the operation of the wind turbine system,so as to make the operation of the wind turbine more smooth and the low co st.The research work has a certain reference value for the operation and maintenance decision optimization of the large-scale wind turbine.