A SQUARE-ROOT FILTER ALGORITHM FOR DYNAMIC STATE ESTIMATION OF ELECTRIC-POWER SYSTEMS

• Type: Article in International Conference Proceedings Book
• Date: 1994

Authors

FERREIRA, IM (Author) Other; Fernando Maciel Barbosa (Author) FEUP

Conference proceedings International

Title: 7TH MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, VOLS 1-3

Pages: 877-880

7th Mediterranean Electrotechnical Conference (MeleCON 94)

ANTALYA, TURKEY, APR 12-14, 1994

Indexing

ISI Web of Knowledge - 5 Citations

Scopus - 1 Citation

Other information

Authenticus ID: P-001-M86

Abstract (EN): The proper analysis and successful operation of a power system implies a reliable estimate of its state. As a result the State Estimation (SE) is nowadays considered as the heart of the modern control centers. Several dynamic state estimation algorithms based on the extended Kalman filtering theory (EKF) have been proposed in the literature but as it has been reported numerical problems may arise in its implementation in practice. To circumvent the problems inherent to the Kalman filter algorithm we present in this paper an algorithm for power system state estimation based in the square root filtering technique. The estimator proposed is decoupled in nature due to modifications made in the measurement equations resulting in a new observation model.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4