基于调控云的智能电网海量运行数据深层次检测技术

Deep-level detection technology of massive operation data of smart grid based on regulation cloud

智能电网海量运行数据深层次检测技术,在电网领域的研究中具有重要意义。需要分析电网数据的流通和传输,并根据分析结果对数据进行检测,利用智能电网的导纳和阻抗,采用潮流计算方法对电网数据节点的电压和电流之间的关系进行分析,根据智能电网的有功注入和无功注入计算电流与功率,获得电网海量数据的非线性方程,建立数学模型。通过智能电网信号的角频率和运行时间计算数据的三角函数,并确定三角函数的余弦和正弦系数,获得电网数据中的分量系数,由运行时间和运行时间的坐标系计算智能电网数据信号,实现基于调控云的智能电网海量数据深层次检测。实验结果表明,当对200bit^1400bit数据量进行检测时,检测的误报率较低,在20%~40%之间,验证了本文提出方法在高效完成电网海量数据检测的同时,还具有较高的检测正确率。

The deep-level detection technology of massive data of smart grids is of great significance in the development of power grids.It is necessary to analyze the circulation and transmission of grid data,and to detect the data according to the analysis results.According to the admittance and impedance of the smart grid,the power flow calculation method is used to analyze the relationship between the voltage and current of the grid data node,and the smart grid is used.Active and reactive injections calculate current and power,obtain nonlinear equations for massive data of the grid,and establish mathematical models.Using the angular frequency and running time of the smart grid signal to calculate the trigonometric function of the data, and determining the cosine and sine coefficients of the trigonometric function,the component coefficients in the grid data are obtained,and the smart grid data signals are calculated according to the coordinate system of the running time and the running time.Deep-level detection of massive data of smart grid based on cloud regulation.The experimental results show that when the data is detected from 200bit to 1400bit,the false positive rate is between 20% and 40%.It is verified that the proposed method can effectively complete the massive data detection of the power grid,and the correct rate is highly.