Robust State Estimation Based on Orthogonal Methods and Maximum Correntropy Criterion

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

Freitas, V (Autor) Outra; Coasta, AS (Autor) Outra; Vladimiro Miranda (Autor) FEUP

Ata de Conferência Internacional

Título: 2017 IEEE MANCHESTER POWERTECH

IEEE Manchester PowerTech

Manchester, ENGLAND, JUN 18-22, 2017

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 4 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6