基于智能WBR-LIEA算法的电网输电线路中山火预警监测研究

Research on Early Warning and Monitoring of Wildfires in Power Grid Transmission Lines Based on Intelligent WBR-LIEA Algorithm

为了维护电网安全稳定运行,加强对山火的预防,通过考虑主备路由的链路重要度评估算法(Link Importance Evaluation Algorithm Based on Working and Backup Routing,WBR-LIEA)对电网输电线路中山火预警监测系统进行了优化。首先对山火预警监测系统进行了分析,然后利用WBR-LIEA算法对山火预警系统从服务层、传输层和物理拓扑层进行了关联风险值的评估,再将三个层面的链路关联风险进行融合,用来度量网络中链路的重要度。当链路失效引起路由中断时,控制器将按照重要度对路由进行重新分配,避免山火对报警通信系统产生影响,导致预警不及时。最后在电力通信网上对算法进行仿真实验并进行了相关分析,证明了该算法的准确性和有效性。

In order to maintain the safe and stable operation of the power grid and strengthen the prevention of wildfires,this paper optimizes the early warning and monitoring system for wildfires in power grid transmission lines through Link Importance Evaluation Algorithm Based on Working and Backup Routing(WBR-LIEA).This study firstly analyzes the wildfire early warning and monitoring system,and then uses the WBR-LIEA algorithm to evaluate the associated risk value of the wildfire early warning system from the service layer,the transmission layer and the physical topology layer.When the link failure causes the route to be interrupted,the controller will redistribute the route according to the importance,so as to avoid the impact of the wildfire on the alarm communication system and cause the early warning to be untimely.Finally,the simulation experiment of the algorithm is carried out on the power communication network and the relevant analysis is carried out,which proves the accuracy and effectiveness of the algorithm.