A STATE ESTIMATION METHOD FOR BAD DATA DETECTION AND IDENTIFICATION BASED ON EQUIVALENT CURRENT MEASUREMENT TRANSFORMATION

According to the variety of measurement categories in power transmission system and distribution system and the shortcomings of traditional fast decoupling state estimation (ES), in this paper a new ES method for bad data detection and identification based on equivalent current measurement transformation is presented. This method is derived though the equivalent current measurement transformation of practical measurements from the measuring system and changing corresponding weight coefficient of measurement according to the theory of error propagation. In the presented method not only the fast decoupling characteristic of traditional SE algorithm is retained, but also to make Jacobian matrix constant completely is implemented without any assumption. The analysis on the results of calculation example shows that this method is a fast and effective one which is not sensitive to the ratio between r and x. Using this method the bad data can be effectively dealt with, and it can be applied to the ES calculation for distribution systems and power transmission systems.