@inproceedings{de437aec0a31473bb0dcb59d560f4d86,
title = "A standstill parameter identification technique for the synchronous generator",
abstract = "This work presents an offline standstill identification technique, where the synchronous machine is locked at an arbitrary (but known) angle, and a test is conducted over a short period of time. In contrast to the well-known standard Standstill Frequency Response (SSFR) technique, which could take more than 6 hours to conduct, the method proposed here collects all the required data in few seconds. This technique is based on nonlinear least squares estimation and algebraic elimination theory. The resulting algorithm is non-iterative where the data is used to construct polynomials that are solved for a finite number of roots which determine the electrical parameter values. Experimental results are presented showing the efficacy of the technique in furnishing the parameters of a salient pole synchronous machine.",
keywords = "Algebraic Elimination Theory, Offline Parameter Identification, Standstill tests, Synchronous Generators",
author = "Oteafy, \{Ahmed M.A.\} and Chiasson, \{John N.\} and Said Ahmed-Zaid",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Electric Machines and Drives Conference, IEMDC 2015 ; Conference date: 11-05-2015 Through 13-05-2015",
year = "2016",
month = feb,
day = "16",
doi = "10.1109/IEMDC.2015.7409037",
language = "English",
series = "Proceedings - 2015 IEEE International Electric Machines and Drives Conference, IEMDC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "60--65",
booktitle = "Proceedings - 2015 IEEE International Electric Machines and Drives Conference, IEMDC 2015",
address = "United States",
}