Path Optimization Of Power Inspection Robot Based On Improved ABC Algorithm

The power sector is moving towards a smart grid with social development.Electricity is an important component of the grid system,and the real wisdom of the smart grid.The power control robot is the key technology for realising an intelligent substation,and route planning is also an important technology for the power control robot.Planning the substation control path requires the rational planning of the power control robot to pass all substation detection points,which can not only help the control robot save energy,but also improve the efficiency of substation control operation.To solve the problem of low search accuracy,an advanced ABC algorithm is proposed in this work,the specific process of which is as follows:First,the present work uses the traditional network method to model the environment,dispersing the substation environment evenly into grid cells.Based on the characteristics of network connectivity,path optimization algorithms are used to plan the path.According to the idea that the choice of the algorithm depends on the specific characteristics of the model,the shortest path of the model is adapted based on the modeling methods of the algorithm.The Dijkstra algorithm can solve the characteristics of one of the shortest paths of a source.Combining a modeled plot optimizes the Dijkstra algorithm.By using appropriate modelling methods and algorithms,the environment and analysis processes can be simulated to the maximum extent.Secondly,considering the slow approach speed,low accuracy and low efficiency of ABC algorithm,this work proposes a HABC algorithm,where elite reverse learning strategy is used to improve algorithm search accuracy to create algorithm baseline population,and improving the performance of deep mining and global optimization performance by using the idea of variation of differential algorithm.Through Matlab simulation and comparison,the validity and superiority of this algorithm are verified.Finally,we examined the performance of HAB from different angles: in terms of testing functions and the efficiency and superiority of HABC algorithm from different dimensions.For the Apollo platform simulation and the control robot equipped with the Apollo system,the feasibility and efficiency of the power control robot under the influence of HABC algorithm shall be tested;The results show that the HABC algorithm can be applied to the operation of power control robot.