Research On Uav Power Line Inspection And Dispatching Method Based On Multi-objective Optimization

In recent years,in order to meet the growing demand for electricity from industry,commerce and life,my country’s power industry has developed rapidly,and the six transprovincial power grids in North China,East China,Central China,Northeast China,Northwest China and South China have been constructed to meet the electricity demand.The large-scale cross-regional power grid has greatly increased the work pressure of grid companies to maintain the operation of transmission lines.The application of UAV in the field of power line inspection overcomes the technical disadvantages of high inspection cost,slow inspection speed,high task difficulty and dangerous operating environment in manual inspection to a certain extent.However,the traditional inspection method is that the power grid company arranges the inspection unit task according to the historical data of previous years,and the crew inspects the power grid line according to the experience,resulting in a lot of waste of manpower and material resources.Moreover,UAV power inspection operations are easily affected by the environment,and the environment around wind power,clearance areas and transmission lines poses a threat to UAV inspection operations.The planning of UAV power inspection tasks lacks scientific and intelligence,and it is urgent to study an efficient and safe UAV power inspection path planning method.Therefore,factors such as meteorological conditions,airspace environment,geographical environment,and the complexity of power grid lines in the inspection area are analyzed,and the path planning of UAV power inspection is studied,and the construction is aimed at the shortest total inspection time and the least total operation cost.The scheduling model is conducive to improving the inspection intelligence of the UAV,shortening the operation time of the UAV line inspection,and reducing the operation cost.The main research contents of this thesis are as follows:Firstly,analyze the application status of UAVs in the field of power line inspection,the research status of UAV path planning and solution methods,summarize the operation process of UAV power inspection,and find that UAV power inspection tasks are scientific and intelligent It is determined that the research goal is to establish a UAV power inspection scheduling model based on multi-objective optimization.Secondly,comprehensively analyze the internal and external factors that affect the efficiency of UAV inspection work,determine the correlation and constraint scope of each influencing factor,compare the two states of no wind and stable continuous wind,and analyze the two shortest inspection time of UAV.Plan the path and inspection time to provide a scientific basis for the establishment of the scheduling model.Finally,based on the VRP problem,a multi-objective optimization mathematical model of multi-UAV cooperative operation is established,and the model is solved.Build a multiobjective optimization model of UAV power line patrol,use the non-dominated sorting genetic algorithm with elite strategy(NSGA-II)to solve the model,and compare it with the historical data of the field survey to verify the scientific of the built model.It provides an effective scheduling method for power grid companies to carry out UAV power inspection work.