Based data mining transient communication security state perception technology for smart grid
Although the smart grid has improved the intelligence and informatization level of the power system,it has also in-creased the volume of power data and the number of interactive behaviors,which poses extremely high requirements for the communi-cation performance of the power grid.If the transient communication status is abnormal,it can easily lead to the loss of power data and affect the stable operation of the smart grid.Therefore,a data mining based technology for sensing the transient communication security status of the smart grid is proposed.Select appropriate transient communication security state perception indicators,use mul-tiple intelligent sensors to obtain perception indicator data,and identify and fill in missing indicator data.Based on this,apply paral-lel clustering algorithm to deeply mine security state perception indicator data,use Analytic Hierarchy Process to determine the weight value of security state perception indicators,and build a smart grid transient communication security state perception model,Develop transient communication security state perception rules to achieve transient communication security state perception.The experimental data shows that the maximum depth coefficient of transient communication security state data mining obtained by applying the proposed technology under different experimental conditions is 0.96.The perception results of transient communication security state are con-sistent with the actual results,fully confirming that the application performance of the proposed technology is better.