Summary
The integration of renewable energy sources reduces the power system inertia, which necessitates the adaptation of classical excitation control methods. Static settings of automatic voltage regulators (AVR) become non-optimal under varying operating conditions.
Read more Read lessThis paper proposes a novel approach to adaptive AVR tuning based on constructing an accurate real-time dynamic model of the power system. Subspace identification methods
(MOESP, CVA, SSARX) were applied for identification. Using a single-machine system as an example, it is shown that the CVA method with a 7-second observation window provides the smallest error and the best match to the characteristics of the original system. The identified models were used to calculate the optimal AVR parameters using the D-decomposition method.
The model obtained by the CVA method demonstrated the closest proximity of the stability region to that of the original system.
Based on the results, an automated algorithm for adaptive AVR tuning was developed. Its performance was confirmed by testing on a setup compliant with GOST R 70609-2022. The application of the calculated settings significantly reduced the amplitude and duration of oscillations both in the grid with and without renewable energy sources.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | B5_11190_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | Russian Federation |
| Study committees | |
| File size | 1 MB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
SATSUK Evgeniy - «SO UPS», JSC; DUBININ Dmitrii - «SO UPS», JSC; KLIMOVA Tatyana - LLC «RC «Prosoft-Systems»; IVANOV Jury - LLC «RC «Prosoft-Systems»; DMITRIEVA Anna - LLC «RC «Prosoft-Systems»; POROZKOV Maksim - LLC «RC «Prosoft-Systems»
Keywords
Control System, Modelling, PMU, Excitation Regulation, Static Stability, Identification, DPartition, Renewable Energy Sources, Adaptive Algorithm
