2020 journal article
Parameter estimation of synchronous machines considering field voltage variation during the sudden short-circuit test
International Journal of Electrical Power & Energy Systems.
author keywords: Optimization models; Field voltage variation; Parameter identification; Sudden three-phase short-circuit test; Synchronous machines
TL;DR:
This work proposes a method to recover the machine parameters even when high amplitude field voltage variations are presented during the sudden short-circuit test, and an algorithm capable of defining maximum field Voltage variations along with its correspondent duration in order to respect a certain parameter estimation error.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Source: ORCID
Added: February 20, 2023
This work examines the influence of field voltage variation during a sudden short-circuit test and its direct impact on the parameter identification of synchronous machines. The test standards establish that field voltage must be kept constant during the short-circuit test. However, due to the presence of impedances in the voltage supply, control of the excitation system along with many other factors, field voltage may vary during this test. This work proposes a method to recover the machine parameters even when high amplitude field voltage variations are presented during the sudden short-circuit test. In addition, an algorithm capable of defining maximum field voltage variations along with its correspondent duration in order to respect a certain parameter estimation error is proposed. Finally, the models developed in this paper are investigated using data from a 140 MVA synchronous machine.