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

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Ascari, LB (Author) Other; Costa, AS (Author) Other; Vladimiro Miranda (Author) FEUP

Conference proceedings International

Title: 2019 IEEE Milan PowerTech

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6