Title :
Power-system dynamic-state estimation by optimal variable incremental displacements
Author :
Allam, M.F. ; Laughton, M.A.
Author_Institution :
Queen Mary College, Department of Electrical & Electronic Engineering, London, UK
fDate :
5/1/1976 12:00:00 AM
Abstract :
A dynamic-state estimation technique is proposed based on the concept of relating changes observed in the measured variables to changes in the state variables by means of a power-system production function which is introduced and defined. Optimal state-variable changes are found using pseudo-inverse matrices in a simple noniterative algorithm.
Keywords :
power systems; state estimation; dynamic state estimation; incremental displacements; noniterative algorithm; optimal state variable; power system; pseudo inverse matrice;
Journal_Title :
Electrical Engineers, Proceedings of the Institution of
DOI :
10.1049/piee.1976.0096
