电力信息与通信技术2024，Vol.22Issue(11)：16-24,9.DOI:10.16543/j.2095-641x.electric.power.ict.2024.11.03
基于自适应风险判定阈值的电力风险分析与预警方法
Power Risk Analysis and Early Warning Method Based on Adaptive Risk Determination Threshold
摘要
Abstract
This paper proposes a method for power risk analysis and early warning based on adaptive risk determination threshold.This method comprehensively integrates the business importance of communication equipment,the topological importance,and the grid impact importance,using a multi-channel artificial neural network to analyze the impact of communication equipment in depth.Based on Bayesian learning to analyze different fault causes and fault causality and correlation,a concurrent fault event chain network is constructed to timely identify fault risks and issue warnings.Through the analysis of the risk warning results and operation and maintenance repair results,the accuracy of the current concurrent fault event chain network risk warning is evaluated,improving the accuracy of communication equipment warnings,and the safety and reliability of the grid.关键词
人工神经网络/骨干光通信/电力风险/预警Key words
artificial neural network/backbone optical communication/power risk/early warning分类
信息技术与安全科学引用本文复制引用
胡悦,王亚男,汪洋,张庚..基于自适应风险判定阈值的电力风险分析与预警方法[J].电力信息与通信技术,2024,22(11):16-24,9.基金项目
国家自然科学基金资助项目(U2166210). （U2166210）
