A Data Fusion Approach for Searching Fault Chains in Power Grid over Datasets from Multiple Systems

It is a challenge to search fault chains for facilities in power grid to provide rapid warning for the smart power grid. In this paper, a data fusion approach for searching fault chains (DF-FCS) is proposed. We take into account the factors for the association between facilities in the fault chains in power grid, such as the operation states, fault risks, spatial distance and fault time when the cascading faults occur. Based on the datasets from WAMS, SCADA and GIS systems, the metrics and the process for determining the initial and successive faults of facilities in fault chains are presented. Experiments over the real datasets from local network of China Southern Power Grid showed the effectiveness and accuracy of DF-FCS.