Robust State Estimation Based on Orthogonal Methods and Maximum Correntropy Criterion

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Freitas, V (Author) Other; Coasta, AS (Author) Other; Vladimiro Miranda (Author) FEUP

Conference proceedings International

Title: 2017 IEEE MANCHESTER POWERTECH

IEEE Manchester PowerTech

Manchester, ENGLAND, JUN 18-22, 2017

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 4 Citations

Other information

Authenticus ID: P-00N-37T

DOI: 10.1109/ptc.2017.7981075

Abstract (EN): This paper presents an orthogonal implementation for power system state estimators based on the Maximum Correntropy Criterion (MCC). The proposed approach leads to a numerically robust estimator which exhibits self -healing properties, in the sense that gross errors in analog measurements are automatically rejected. As a consequence, robust estimates are produced without the need of running the state estimator again after bad data identification and removal. Numerical robustness is achieved by means of a specialized orthogonal algorithm based on fast Givens Rotations, which is able to handle the dynamic measurement weighting mechanism implied by the Parzen window concept associated to MCC. Results for a 3 -bus test system are presented to properly illustrate the Correntropy principles, and several case studies conducted on the IEEE 30 -bus and 57 -bus benchmark systems are used to validate the proposed methodology.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6