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Application of an adaptive controller for controlling the rotational velocity of hydrogenerators taking into account the technological state of a Kaplan turbine

https://doi.org/10.21285/1814-3520-2022-3-415-425

Abstract

The impact of oil leakages in a turbine on the main power system parameters is investigated in reactive hydraulic turbines with adjustable-blade runners (Kaplan turbines) installed at Maynskaya, Nizhne-Bureiskaya and Vilyuyskaya hydroelectric power plants. The main theoretical relations and conclusions were obtained by the methods of mathematical simulation and integral calculations in the MATLAB software environment. A method is proposed for monitoring leakages in the housing of an adjustable-blade runner and smoothing the fluctuations of various parameters (amplitude, rotational velocity, phase angle, active power and generator current) of the power system in the case of oil leak-ages. The control is performed by means of a sensor installed in the runner, a fiber-optic cable and an optical-electrical converter located along the shaft from the runner blades to the oil receiver of the corresponding hydraulic unit. The performed analysis of the obtained mathematical model (frequency response and Nyquist plots were built) relative to the basic parameters of the electrical energy generated by a hydraulic unit showed that the proposed method of monitoring oil leakages contributes to an increase in the operational stability of a hydraulic unit. When constructing the model, the following parameters of the hydraulic unit were taken into account: rotational angle of runner blades and opening angle of hydraulic turbine guide vanes. The developed block diagram can be used to compare variations in the parameters both without oil leakage control and taking into account the automated control system proposed by the authors. It is shown that the obtained logarithmic Nyquist plot can be used to monitor variations in the amplitude, as well as its smoothening, both under normal conditions and taking into account oil leakages in the hydraulic turbine housing.

About the Authors

A. A. Achitaev
Siberian Federal University, Sayano-Shushensky branch, Cheremushki settlement
Russian Federation

Andrey A. Achitaev, Cand. Sci. (Eng.), Head of the Department of Hydropower, Hydroelectric Power Plants, Electric Power Systems and Electric Networks

46, Cheryomushki settlement, Sayanogorsk 655619, Russia



A. I. Valetskaya
Siberian Federal University, Sayano-Shushensky branch, Cheremushki settlement
Russian Federation

Anastasia I. Valetskaya, Senior Lecturer of the Department of Hydropower, Hydroelectric Power Plants, Electric Power Systems and Electric Networks

46, Cheryomushki settlement, Sayanogorsk 655619, Russia



M. F. Noskov
Siberian Federal University, Sayano-Shushensky branch, Cheremushki settlement
Russian Federation

Mikhail F. Noskov, Dr. Sc. (Eng.), Professor of the Department of Hydropower, Hydroelectric Power Plants, Electric Power Systems and Electric Networks

46, Cheryomushki settlement, Sayanogorsk 655619, Russia



V. I. Tatarnikov
Siberian Federal University, Sayano-Shushensky branch, Cheremushki settlement
Russian Federation

Vasily I. Tatarnikov, Associate Professor of the Department of Hydropower, Hydroelectric Power Plants, Electric Power Systems and Electric Networks

46, Cheryomushki settlement, Sayanogorsk 655619, Russia



References

1. Markin V. N., Tomilin V. I., Il’in A. Yu. Operation of units with adjustable-blade turbines converted to a propeller regime. Hydrotechnical Construction. 1988;22(7):430-436. https://doi.org/10.1007/BF01432355.

2. Karabegovic A., Hinteregger M., Christoph J., Mohl W., Gföhler M. Closed-loop helium circulation system for actuation of a continuously operating heart catheter pump. International Journal of Artificial Organs. 2017;40(6):272-281. https://doi.org/10.5301/ijao.5000593.

3. Mohamad H., Mokhlis H., Bakar А. Н. А., Ping Hew Wooi. A review on islanding operation and control for distribution network connected with small hydro power plant. Renewable and Sustainable Energy Reviews. 2011;15(8):3952-3962. https://doi.org/10.1016/j.rser.2011.06.010.

4. Mover W. G. P., Supply E. Hydraulic turbine and turbine control models for system dynamic studies. IEEE Transactions on Power Systems. 1992;7(1):167-179. https://doi.org/10.1109/59.141700.

5. Ustalov V. A., Ustalova T. P. Technical developments to prevent fouling of generator parts with oil. Hydrotechnical Construction. 1995;29(8):438-442. https://doi.org/10.1007/BF02446368.

6. Xu Haoming, Wang Deyi, Liu Jiajun. Process control optimization for hydroelectric power based on neural net-work algorithm. AMSE Journals-AMSE IIETA. 2017;72(2):155-166. https://doi.org/10.18280/ama_c.720204.

7. Anderson P. M., Fouad A. Power system control and stability, 1980. 569 р. (Russ. ed.: Upravlenie energosistemami i ustojchivost'. Moscow, Energiya; 1980, 569 р.)

8. Ding Tao, Lin Yanling, Bie Zhaohong, Chen Chen. A resilient microgrid formation strategy for load restoration considering master-slave distributed generators and topology reconfiguration. Applied Energy. 2017;199:205-216. https://doi.org/10.1016/j.apenergy.2017.05.012.

9. Heong Oon Kheng, Tan Chia Kwang, Bakar A. H. B. A., Che Hangseng. Establishment of fault current characteristics for solar photovoltaic generator considering low volt-age ride through and reactive current injection requirement. Renewable and Sustainable Energy Reviews. 2018;92:478-488. https://doi.org/10.1016/j.rser.2018.05.001.

10. Ekonomou L., Vita V., Fotis G. P., Mladenov V. Dis-tributed generation islanding effect on distribution net-works and end user loads using the master-slave islanding method. Journal of Power and Energy Engineering. 2016;4(10):1-24. https://doi.org/10.4236/jpee.2016.410001.

11. Maina D. K., Sanjari M. J., Nair N.-K. C. Voltage and frequency response of small hydro power plant in grid connected and islanded mode. In: Australasian Universities Power Engineering Conference. https://doi.org/10.1109/AUPEC.2018.8757944.

12. Mohamad H., Laghari J. A., Bakar A. H. A., Salim N. A., Yasin Z. M. A New centralized controller for islanding operation of distribution network connected with rotating type DG. In: IEEE International Conference in Power Engineering Application. 10.1109/ICPEA51500.2021.9417754.

13. Shafique N., Raza S., Bibi S., Farhan M., Riaz M. A simplified passive islanding detection technique based on susceptible power indice with zero NDZ. Ain Shams Engineering Journal. 2021;13(4):101637. https://doi.org/10.1016/j.asej.2021.11.006.

14. Borkute R., Malwar N. Control for grid connected and intentional islanding of distributed power generation. International Journal of Trend in Scientific Research and Development. 2019;3(4):333-336. https://doi.org/10.31142/ijtsrd23679.

15. Wei Liangliang, Nakamura T., Imai K. Development and optimization of low-speed and high-efficiency permanent magnet generator for micro hydro-electrical genera-tion system. Renewable Energy. 2020;147(1):1653-1662. https://doi.org/10.1016/j.renene.2019.09.049.

16. Paiva S., Ribeiro R. L. A., Alves D., Costa F. B. A wavelet-based hybrid islanding detection system applied for distributed generators interconnected to AC microgrids. International Journal of Electrical Power & Energy Systems. 2020;121(4):106032. https://doi.org/10.1016/j.ijepes.2020.106032.

17. Kumar A., Riyaz S., Mahanty R. N. A comprehensive review of conventional and computational islanding diagnosis of distributed generator in distribution network. In: Gupta O. H., Sood V. K. (eds.). Recent Advances in Pow-er Systems. Lecture Notes in Electrical Engineering. Vol. 699. Singapore: Springer, 2021. https://doi.org/10.1007/978-981-15-7994-3_47.

18. Lima R. L., Vieira J. C. M. Performance indices for assessing the power quality of islanded operation of distributed generators. Journal of Control, Automation and Electrical Systems. 2021;32:747-755. https://doi.org/10.1007/s40313-021-00698-w.

19. Lim SungHoon, Choi Donghee, Lee Soo Hyoung, Kang Chongqing, Park Jung-Wook. Frequency stability enhancement of low-inertia large-scale power system based on grey wolf optimization. IEEE Power & Energy Society Section. 2022;10(1-1):11657-11668. https://doi.org/10.1109/ACCESS.2022.3146710.

20. Gracino R., Hansen V., Goia L., Campos А., Campos B. System identification of a small hydropower plant. In: 14th IEEE International Conference on Industry Applications. 2021. https://doi.org/10.1109/INDUSCON51756.2021.9529511.


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For citations:


Achitaev A.A., Valetskaya A.I., Noskov M.F., Tatarnikov V.I. Application of an adaptive controller for controlling the rotational velocity of hydrogenerators taking into account the technological state of a Kaplan turbine. iPolytech Journal. 2022;26(3):415-425. (In Russ.) https://doi.org/10.21285/1814-3520-2022-3-415-425

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ISSN 2782-4004 (Print)
ISSN 2782-6341 (Online)