基于边缘计算的全息感知智慧台区风险评估研究

Research on risk assessment of holographic sensing smart station area based on edge computing

为了提高智慧台区风险评估能力,提出基于边缘计算的全息感知智慧台区风险评估方法。采用不确定性参数刻画智能台区风险评估参数,得到配电网智能台区风险评估在维状态空间中的大数据挖掘矩阵。构建二阶锥优化模型进行智慧台区风险评估的全息感知和信息融合处理,采用边缘融合特征检测的方法实现对配电网智慧台区风险约束参数评价和模糊决策,结合多综合能源联供型融合和特征提取方法,实现对智慧台区的不确定集合表征与全息感知下的智慧台区风险评估。仿真结果表明,采用该方法进行全息感知智慧台区风险评估的可靠性和准确性较高,降低了配电网的台区风险。

In order to improve the risk assessment ability of smart station area,a holographic sensing risk assessment method based on edge computing is proposed.The uncertain parameters are used to describe the risk assessment parameters of intelligent substation area,and the big data mining matrix of intelligent substation area risk assessment in dimensional state space is obtained.The second-order cone optimization model is constructed to process the holographic perception and information fusion of the risk assessment of the smart station area.The edge fusion feature detection method is used to evaluate the risk constraint parameters and fuzzy decision-making of the Smart Substation area.Combined with the multi Integrated Energy Co supply fusion and feature extraction method,the uncertain set representation of the smart station area and the smart station area wind under the holographic perception are realized Risk assessment.The simulation results show that the method has high reliability and accuracy,and reduces the risk of distribution network.