Research On ZigBee Routing Algorithm And Its Application In Substation Auxiliary Facilities Monitoring System

As the most important part of the power grid system,the substation plays an irreplaceable role in transmission,transformation and distribution of electricity.Therefore,the level of intelligence is closely related to the development of smart grid.At present,with the continuous development and improvement of domestic intelligent high-voltage equipment manufacturing technology and remote control technology,the intelligence level of various types of primary and secondary equipment in substations is more prominent.In order to establish a truly intelligent substation,it is equally important and indispensable to realize the integrated intelligent monitoring of all kinds of auxiliary facilities in the substation while the substation is less manned or unmanned.This thesis takes the topic of "Research and development of intelligent monitoring system for substation auxiliary facilities" as the background and engineering application as the purpose,and combines the intelligent terminal to apply ZigBee wireless communication technology in the monitoring system of substation auxiliary facilities.At the same time,in order to better apply ZigBee technology to achieve the monitoring needs,this paper starts from the core routing algorithm of ZigBee technology to study the ZigBee routing algorithm that can meet the substation auxiliary facilities monitoring system,so as to build a stable and reliable underlying wireless sensor network for the auxiliary facilities monitoring system.Therefore,the main research contents of this paper are as follows:(1)Taking a 330 kV substation as the research object,the characteristics of its auxiliary facilities are summarized,and ZigBee technology is applied to it in combination with the three-layer application model of Io T,and the overall scheme of the auxiliary facilities monitoring system is derived.(2)Conduct research on the key issue of whether monitoring data can be stably and efficiently transmitted in ZigBee wireless sensor networks.An improvement is made to address the issue of increased data processing burden in ZigBee wireless sensor networks caused by the RREQ(Routing Request)broadcast flooding mechanism of traditional routing algorithms.Firstly,the RQ＿flag is introduced to restrict the direction of redundant propagation of RREQ packets in the network;Secondly,the Hop＿max is introduced to limit the number of propagation hops for redundant propagation of RREQ packets in the network.(3)Based on the practical application requirements of the substation auxiliary facility monitoring system,design reasonable simulation scenarios and parameters,and build a network simulation platform based on NS-2.Compare the simulation results of the traditional algorithm and the improved algorithm on four network performance indicators: packet delivery rate,packet loss,routing control overhead,and average end-to-end delay.The simulation results show that the improved algorithm has better network performance than the traditional algorithm.(4)Based on the control requirements of the monitoring system,reasonably design the functions of each node in the network,and combine them with practical applications to build a semi physical testing platform.Based on this,relevant tests were conducted on the actual application performance of the improved algorithm,including network construction and communication testing between upper and lower computers.The test results showed that the network construction was stable and data transmission was reliable.At the same time,considering the spatial location of node distribution,conduct point-to-point communication testing on ZigBee intelligent terminals,and determine the maximum communication distance of the intelligent terminal while meeting the minimum communication quality standards;And by setting up a multi node scenario to test the actual application performance of the improved algorithm,the test results show that the improved algorithm can still maintain stable data transmission performance in multi node scenarios,which can meet the monitoring needs of the monitoring system.