Periodic Real-time Monitoring Method of Power Grid Risk Considering Load Flow and Operation Mode
In order to ensure the real-time and reliability of power grid fault treatment,reduce the power grid operation risk,consider the load flow and operation mode,a periodic real-time monitoring method of power grid risk is proposed.After obtai-ning the relevant data of power grid operation through the data access layer,the data are cleaned and stored by the data pro-cessing layer.The business layer estimates the power grid line operation dynamics based on the power grid load flow calcula-tion.At the same time,the load flow data are clustered and the power flow data features are extracted by the improved feature weight algorithm.It analyzes the correlation degree between each load flow features and each fault category.The application layer considers the load flow and operation mode,quantifies the power grid fault risk,uses the average mutual information measurement to complete the power grid risk early warning,and realizes the comprehensive monitoring of the power grid.The test results show that the calculation of power grid load flow can be completed reliably,the values of contour coefficient are more than 0.92,and the values of tightness are less than 2.5.The clustering effect of load flow data is good,and the risk probability of line can be calculated according to load flow,with the maximum value of 0.68.Real time risk early warning can be carried out according to the results.