Estimation of Grid Operating State Based on Mixed Data from Multiple Information Sources

With the upgrading of power grid measurement devices and the increase of various types of non-electrical data, the large data of power grid can’t be fully and effectively utilized. It is impossible to describe the operation state of power grid more accurately by physical modeling based solely on electrical data. Therefore, through the analysis and utilization of electrical data and non-electrical data, this paper uses the information physical fusion model constructed by multi-information sources to replace the traditional electrical model. The improved in formation physics fusion model realizes more comprehensive and accurate monitoring and estimation of power grid operation state. The example in this paper realizes the monitoring of the operation state of the power grid through the parameter fusion model of transformer and transmission line, and identifies the small operation faults of the power grid. Besides, the dynamic parameters derived from the fusion model are used to estimate the operation state, and the overall estimation of power grid with missing measurements is realized.