Evaluation of Power Grid Data Quality Based on State Estimation Results

Abstract

The power grid data quality is the key factor which will affect various applications of smart grid power dispatch control system, and Power system state estimation results implied the problems in power grid data. The existing state estimation evaluation index is relatively single, and the analytic result of the power grid is not comprehensive. According to the indexes that affect the accuracy of state estimation, this paper puts forward a evaluation method of power grid data quality. The selection of evaluation indexes must follow with the identification and redundancy principles. Selected several typical indexes as an example, and used analytic hierarchy process to determine the weight of those indexes. Illustrated by the case of actual power system, the results show that the evaluation method is very effective and can reflect the hidden problem of grid model and data. Also, the evaluation result can provide guidance for the improvement of quality level of power grid model and data.