Preprocessing of Online Analysis in Power Grid Based on State Estimation Optimized by PCA

Aiming at the question that two kinds of different source data-SCADA/WAMS cannot carry on power grid online analysis well. A data preprocessing method is presented in this paper, which is based on a two-stage state estimation algorithm optimized by PCA. By using linear/non-linear mixed state estimation algorithm, the origin data of SCADA/WAMS is transformed into state value. To accelerate the state estimation restrained rapidly, a data value optimized algorithm of principal component analysis is provided, and finally the basic message of online analysis is obtained.