New model for a decoupled dynamic square root algorithm in power systems state estimation

• Type: Article in International Scientific Journal
• Date: 1994

Authors

Ferreira Isabel, M (Author) Other; Fernando Maciel Barbosa (Author) FEUP

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Scopus - 0 Citations

Other information

Authenticus ID: P-007-6DJ

Abstract (EN): The continuously increasing complexity and interdependence of electric power systems make their monitoring, security analysis and control increasingly important and difficult. Although, an on-line load flow analysis can give insight in the time evolution of the system state, it has been shown that the conventional load flow is not suitable for real time monitoring of the power system. As a result the State Estimation (SE) is nowadays considered as the heart of the modern control centers. To circumvent the numerical 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