电网信息系统运行状态的风险预警技术研究

电网信息系统在持续工作条件下,运行状态的风险频次较高,文中提出一种基于信息聚类融合处理的电网信息系统运行状态的风险预警技术,构建电网信息系统运行状态风险评估的信息提取模型,对采集的电网信息系统运行状态评估数据进行统计聚类分析,结合模糊自适应C聚类算法进行电网信息系统运行状态评估和状态属性分类,提取反映电网信息系统运行状态风险特征的频谱参量,采用信息反馈调节技术实现风险预警评估。仿真结果表明,采用该方法进行电网信息系统运行状态的风险预警的可靠度较高,风险预警的准确率较高且误报率较低,实时准确性较好,保障电网信息系统的稳定运行。

Research on risk early warning Technology of Power Grid Information system operating State

Power grid information system working in a continuous working environment, the operational state of the risk frequency is high, a network information system based on information clustering fusion processing risk warning technology for the operational state of the grid information system. The information extraction model of grid information system running state risk assessment is constructed, and the collected data of grid information system operation state evaluation is analyzed by statistical clustering. Fuzzy adaptive C clustering algorithm is used to evaluate the running state and classify the state attributes of the power network information system. The spectrum parameters reflecting the risk characteristics of the network information system running state are extracted. The simulation results show that this method has high reliability for early warning of power grid information system operation state, high accuracy and low false alarm rate, and real-time accuracy, so as to ensure the stable operation of power grid information system.