Title :
Physical parameters identification of synchronous generators by a dynamic state estimator
Author :
Huang, R. ; Farantatos, Evangelos ; Cokkinides, George J. ; Meliopoulos, A.P.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
This paper presents a novel dynamic state estimation methodology for the estimation of the parameters of a synchronous generator. The synchronous generator model is a physically based model, that is, the model is in terms of the actual self and mutual inductances of the generator windings as a function of rotor position. No transformations are applied or model reduction techniques. The dynamic state estimation uses measurements of terminal voltages and currents of phases A, B, C of stator windings and field winding, along with the mechanical shaft speed. The proposed approach is applied to a 18 kV, 825 MVA synchronous generator. The results are validated by numerical experiments.
Keywords :
electric current measurement; machine windings; parameter estimation; state estimation; stators; synchronous generators; voltage measurement; actual self inductances; dynamic state estimation methodology; dynamic state estimator; field winding; generator windings; mechanical shaft speed; model reduction techniques; mutual inductances; physical parameters identification; rotor position function; stator windings; synchronous generator model; terminal currents measurements; terminal voltages measurements; voltage 18 kV; Generators; Mathematical model; Power system dynamics; Rotors; State estimation; Stator windings; Synchronous machines; Dynamic State Estimation; Generator Modeling; Parameters Identification;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672882