Abstract
With the advent of the era of big data, our society has become a "data society". The development and utilization of data resources has become an important force to promote social progress, and data quality is the basis for the validity and accuracy of data analysis conclusions. In view of the current situation that it is difficult for the power grid dispatch center to conduct a comprehensive analysis of the monitoring and dispatching big data, a method for evaluating the quality of operation data in substations based on electrical physics knowledge and manual data discrimination is proposed, and an online data mining and risk early warning technology system under the integration of regulation and control is developed. Early warning indicators are identified to realize early warning of power grid security risks through correlation analysis. This system has been applied in Shandong Dispatching Center.
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