Micrometeorological Warning System For Power Transmission Lines Based On IBAS-BP

Transmission lines undertake the important work of transmitting electric energy in the power system,and their normal operation is the basis for ensuring the stable operation of the power grid.As most of the transmission lines are distributed in the complex micrometeorological environment in the field,and the transmission line failures caused by the micrometeorological environment pose a great threat to the operation of transmission lines,it is necessary to research and construct a micrometeorological warning system for transmission lines to ensure the stable operation of the power system.With the development of computer and wireless communication technology,the transmission line micrometeorological warning system has been greatly advanced in terms of monitoring terminal and warning,but there are still deficiencies in the communication method and warning model.For the problem that the traditional transmission line monitoring terminal has high communication power consumption,the Narrow Band Internet of Things(NB-Io T)technology is used to develop and implement the monitoring terminal for transmission line micrometeorological warning system.To address the problems of transmission line wind deflection accidents and the low accuracy of traditional warning models,the improved Beetle Antennae Search(IBAS)optimized BP neural network algorithm is proposed to construct a wind deflection angle warning model for overhanging insulator strings and applied to the transmission line micro-meteorological warning system.The main work of the thesis is as follows.First,the IBAS-BP overhanging insulator string wind deflection angle warning algorithm is proposed.To improve the search capability of BAS,an adaptive convergence factor is introduced in the stepwise optimization search process of BAS algorithm.To avoid BAS from falling into local optimal solutions when dealing with complex problems,a t-distribution variation operator is introduced to make the optimal individual variation.The parameters of BP neural network are optimized using IBAS to effectively improve the early warning accuracy of BP neural network.Second,develop and implement transmission line micrometeorological warning system terminals.According to the needs of transmission line micrometeorological warning system,the micrometeorological monitoring terminal for transmission line is developed.The terminal hardware schematic diagram is drawing,including the main control module,data acquisition module,RS485 signal conversion module and NB-Io T module.Complete the PCB board design;punching,welding and debugging,complete the physical design of terminal hardware.Third,develop and implement transmission line micrometeorological warning system software.Based on STM32 Cube MX,Keil μVision5,MODBUS debugging assistant and other development tools,we developed and implemented the software of transmission line micro-meteorological warning system.The system software includes:MCU initialization program,data acquisition module program,AT instruction program for communication between STM32 and NB-Io T module,communication program between cloud platform and NB-Io T module based on MQTT protocol,upper computer interface development based on cloud platform.Fourth,the IBAS-BP warning model for wind deflection angle of dangling insulator string is established.The data pre-processing methods and model evaluation criteria are selected,the number of implied layers and nodes of BP neural network,network transfer function,learning rate and other parameters are determined,the wind deflection angle warning model of the overhanging insulator string of BP neural network is established,and the IBAS algorithm is used to optimize it.Fifth,experiments verified the effectiveness of the system.The effectiveness of the system was verified by testing the terminal equipment of the transmission line micro-meteorological warning system and data visualization tests based on the application interface of the upper computer.Comparative experiments were conducted on the BP and IBAS-BP warning models,and the experimental results showed that the IBAS-BP overhanging insulator string wind deflection angle warning model proposed in this research is effective.Figure [76] Table [13] Reference [85]...