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electric power system static state estimation through kalman filtering and load forecasting

 
Titel
Electric power system static state estimation through Kalman filtering and load forecasting
Type
artikel vakblad
Referentie

Blood, E.A.; B.H. Krogh and M.D. Ilic: Electric power system static state estimation through Kalman filtering and load forecasting, pp. 1-6. In: Proceedings of the Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 20-24 July (2008). At: Pittsburgh, PA, USA. ISSN: 1932-5517. ISBN: 978-1-4244-1905-0. International Proceedings (refereed).

Beschrijving

Static state estimation in electric power systems is normally accomplished without the use of time-history data or prediction. This paper presents preliminary work on the use of the discrete-time Kalman filter to incorporate time history and power demand prediction into state estimators. The problem of state estimation combined with the knowledge of the forecasted load is posed as a Kalman filtering problem using a novel discrete-time model. The model relates current and previous states using the electric power flow equations. An IEEE 14-bus test system example is used to illustrate the potential for enhanced performance of such Kalman filter-based state estimation

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