Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7112383 | Electric Power Systems Research | 2018 | 11 Pages |
Abstract
The method is based on the definition of the coverage of the measurement set by a tiling scheme of 3-overlapping autoencoders, trained with denoising techniques and correntropy, that produce an ensemble-like set of three proposals for each measurement. These proposals are then subject to a process of fusion to produce a vector of proposed/corrected measurements, and two fusion methods are compared, with advantage to the Parzen Windows method. The original measurement vector can then be recognized as clean or diagnosed with possible gross errors, together with corrections that remove these errors. The repaired vectors can then serve as input to classical state estimation procedures, as only a small noise remains. A test case illustrates the effectiveness of the technique, which could deal with four simultaneous gross errors and achieve a result close to full recognition and correction of the errors.
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
Marco A.M. Saran, Vladimiro Miranda,