基于边缘计算的故障录波主站信息快速智能处理方法

Fast and Intelligent Information Processing Method for Fault Recorder Master Station Based on Edge Computing

[目的]针对电网调控机构业务集中,故障决策延时和数据传输开销大的问题,设计了一种基于边缘计算的故障录波主站信息快速智能处理方法。[方法]基于故障录波信息处理的边缘计算设计原理和整体框架,利用DataSocket异步并行实时通信和Hadoop分布式存储方案保证数据稳定传输和快速存取,采用改进的SSDA算法快速筛选出故障信息进行分析,电子化报送故障分析结果。[结果]实验结果表明:该方法在海量数据处理、故障快速诊断、辅助决策支持等方面有良好的应用效果,可缓解调控机构信息处理压力和缩短故障决策时延。[结论]结合广西电网运行案例,证明了该方法可靠处理海量故障录波信息的有效性和可行性。

[Introduction]Aiming at the problems of business concentration,fault decision delay and high data transmission overhead for power grid dispatching control center,a fast and intelligent information processing method for fault recorder master station based on edge computing was proposed.[Method]Based on the edge computing design principle and overall framework of fault recording information processing,we used DataSocket asynchronous parallel real-time communication and Hadoop distributed storage scheme to ensure stable transmission,fast storage and retrieval for data,adopted improved SSDA algorithm to sift out the fault information to analysis quickly,and submitted the fault analysis results electronically.[Result]The experimental results show that this method has good application effects in mass data processing,rapid fault diagnosis,auxiliary decision support,etc.It can alleviate the pressure of information processing of dispatching control center and shorten the time delay of fault decision-making.[Conclusion]The proposed method is effective and feasible to handle massive fault recording information reliably combined with the Guangxi power grid operation case.