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- Title
Testing of an Adaptive Algorithm for Estimating the Parameters of a Synchronous Generator Based on the Approximation of Electrical State Time Series.
- Authors
Senyuk, Mihail; Beryozkina, Svetlana; Berdin, Alexander; Moiseichenkov, Alexander; Safaraliev, Murodbek; Zicmane, Inga
- Abstract
The results of testing the algorithms of the adaptive model of a synchronous generator using theoretical and real physical data are presented in this study. The adaptive model of a synchronous machine is an equations system, which describes both the static and transient operation of a generator. Parameters of the adaptive model are found using measurements of a generator's operational parameters. The single-machine model was created in Matlab/Simulink software to test the theoretical data. This single-machine model consists of a synchronous generator, a step-up transformer, and a transmission line. The test model also includes models of the automatic voltage regulator and steam turbine governor. The real electrodynamic model was used to verify the adaptive model of a synchronous machine. It consisted of four synchronous generators, with values of power capacity of 5 kW and 15 kW. The data logger with a sampling rate of 57.8 kHz was developed and installed to measure the operating parameters of each generator. As a result of testing on both models, the following values were estimated: inertia moment, d-axis and q-axis reactance, and load angle. These values were compared with the reference values. The adaptive model of a synchronous machine can be used in systems of emergency control and assessment of generator state.
- Subjects
SYNCHRONOUS generators; ADAPTIVE testing; VOLTAGE regulators; TIME series analysis; MOMENTS of inertia; ALGORITHMS; KALMAN filtering; MACHINE performance
- Publication
Mathematics (2227-7390), 2022, Vol 10, Issue 22, p4187
- ISSN
2227-7390
- Publication type
Article
- DOI
10.3390/math10224187