Correntropy-Based Fusion Strategy for Incorporating PMU Measurements into Power System State Estimation

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2019

Autores

Ascari, LB (Autor) Outra; Costa, AS (Autor) Outra; Vladimiro Miranda (Autor) FEUP

Ata de Conferência Internacional

Título: 2019 IEEE Milan PowerTech

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-00R-38H

DOI: 10.1109/ptc.2019.8810446

Abstract (EN): This paper proposes an estimation strategy in order to address two arising trends in Power System State Estimation (PSSE). Through a hybrid two-stage estimation architecture, high quality measurements gathered by PMUs can be incorporated into PSSE without excluding the widespread employed SCADA measurements. In the first stage of the proposed estimation architecture, SCADA and PMU measurements are individual processed by Maximum Correntropy-based estimators that replace conventional WLS-based methods. The second stage makes use of fusion methods to optimally combine the estimates provided by the individual estimators in order to enhance the quality of final estimates. This architecture allows the inclusion of the new class of measurement while making the whole process bad data-resilient, due to the outlier-rejection properties of Maximum Correntropy-based algorithms.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6