Abstract
A dynamic hierarchical state estimator designed to meet the on-line requirements of electric power systems is considered and its performances are explored and assessed. The estimator derives from the conjunction of an extended Kalman filter, embedded in a hierarchical scheme. The investigations concern three distinct series of simulations. This dynamic hierarchical estimator is shown to perform perfectly well with respect to accuracy and reliability, while complying with on-line computing needs which had never been met till now by other dynamic estimators.
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P. ROUSSEAUX, T. VAN CUTSEM, M. RIBBENS-PAVELLA, "Dynamic State Estimator for large electric power systems", 9th IEEE World Congress, Budapest, Hungary, July 2–6, 1984.
A. DEBS, R. LARSON, "A dynamic estimator for tracking the state of a power system", IEEE PAS-89, No. 7, September/October 1970.
T. VAN CUTSEM, J.L. HORWARD, M. RIBBENS-PAVELLA, "A two-level static state estimator for electric power systems", IEEE PAS-100, No. 8, August 1981.
P. ROUSSEAUX, T. VAN CUTSEM, M. RIBBENS-PAVELLA, "Multi-level dynamic state estimation for electric power systems", 8th PSCC, Helsinki, Finland, 19–24 August, 1984.
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© 1985 Springer-Verlag
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Rousseaux, P., Van Cutsem, T., Ribbens-Pavella, M. (1985). Investigating a two-level dynamic estimation algorithm for large-scale electric power systems. In: Schmidt, G., Singh, M., Titli, A., Tzafestas, S. (eds) Real Time Control of Large Scale Systems. Lecture Notes in Control and Information Sciences, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0008301
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DOI: https://doi.org/10.1007/BFb0008301
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