Alexander Moiseichenkov

Alexander Moiseichenkov

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Alexander Moiseichenkov

Department of Electrical Engineering, Ural Federal University, 620002 Yekaterinburg, Russia

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 November 2022 in Mathematics
Verified
Journal Article
Open access
PDF file
MSMihail Senyuk
Mihail Senyuk
SBSvetlana Beryozkina
Svetlana Beryozkina
ABAlexander Berdin
Alexander Berdin
AMAlexander Moiseichenkov
Alexander Moiseichenkov
Murodbek SafaralievMurodbek Safaraliev
Murodbek Safaraliev
Inga ZicmaneInga Zicmane
Inga Zicmane
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.