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The study of the isolated power supply system operation with controlled distributed generation plants, energy storage units and drive load

https://doi.org/10.30724/1998-9903-2021-23-5-184-194

Abstract

THE PURPOSE. Investigation of the operating modes of an isolated power supply system with controlled distributed generation plants, energy storage units and a drive load. Determination of the influence of the proposed prognostic controller of a distributed generation plant on the control parameters and quality indicators of the control process under various operating modes of an isolated power supply system.

METHODS. The studies were carried out on a computer model of an isolated power supply system of an industrial enterprise with a turbine generator plant, a wind generator plant and a high-power electric storage unit, for which a fuzzy control system and a prognostic controller were used. The simulation was performed in MATLAB using Simulink and SimPowerSystems packages.

RESULTS. The article describes a computer model of an isolated power supply system, as well as a structural diagram of the proposed autoprognostic speed controller. The simulation results showed that the combined use of an energy storage unit and an auto-prognostic generator rotor speed controller makes it possible to ensure the stability and survivability of an isolated power supply system, increasing its damping properties. The use of a fuzzy control system of a wind-generating plant made it possible to ensure its stable operation in all considered modes.

CONCLUSION. The auto-prognostic speed controller, which does not require special settings, and the energy storage unit provide high quality control indicators in normal and emergency modes. It is advisable to conduct further studies to coordinate the actions of the control system of the electric energy storage unit and the auto-prognostic speed controller of the distributed generation plant.

About the Authors

Yu. N. Bulatov
Bratsk State University
Russian Federation

Yuri N. Bulatov – Department of Energy

Bratsk



A. V. Kryukov
Irkutsk State Transport University; Irkutsk National Research Technical University
Russian Federation

Andrey V. Kryukov

Irkutsk



K. V. Suslov
Irkutsk National Research Technical University
Russian Federation

Konstantin V. Suslov – Department of Power Supply and Electrical Engineering

Irkutsk



References

1. Lombardi P, Styczynski ZA, Sokolnikova T. and Suslov K. Use of energy storage in isolated micro grids. Power Systems Computation Conference (PSCC), 2014. pp. 1-6.

2. Fedotov AI, Fedotov EA, Abdullazyanov AF. Use of electrochemical energy storage systems in autonomous power supply systems to reduce fuel consumption of power installations. Power engineering: research, equipment, technology. 2021;23(1):3-17. https://doi.org/10.30724/1998-9903-2021-23-1-3-17.

3. Motalleb M, Reihani E, Ghorbani R. Optimal placement and sizing of the storage supporting transmission and distribution networks. Renewable Energy, Elsevier. 2016;94:651-659. doi: 10.1016/j.renene.2016.03.101

4. Martínez Ceseña EA, Capuder T, Mancarella P. Flexible distributed multienergy generation system expansion planning under uncertainty. IEEE Transaction on Smart Grid. 2016;7:348-357.

5. Myshkina LS. Distributed generation is a means of increasing power system survivability. Power engineering: research, equipment, technology. 2017;19(1-2):23-30. https://doi.org/10.30724/1998-9903-2017-19-1-2-23-30.

6. Voropai NI, Stychinsky ZA. Renewable energy sources: theoretical foundations, technologies, technical characteristics, economics, Magdeburg: Otto-von-Guericke-Universität, 2010, 223 p.

7. Chetoshnikova LM, Smolentsev NI, Chetoshnikov SA, et al. Autonomous power supply systems with renewable sources of energy and smart grid. Power engineering: research, equipment, technology. 2018;20(5-6):3-12. https://doi.org/10.30724/1998-9903-2018-20-5-6-3-10.

8. Hamidi RJ, Livani H, Hosseinian SH., Gharehpetian G.B. Distributed Cooperative Control System for Smart Microgrids. Electric Power System Research. 2016;130:241-250.

9. Wang R, Wang P, Xiao G. Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid. Springer. 2018. 218 p.

10. Foruzan E, Algrain MC, Asgarpoor S. Decentralized Controller Design for Microgrids in Islanded and Grid-Connected Modes. IEEE International Conference on Electro Information Technology, 2017.

11. Shi J. et al. Hybrid energy storage system (HESS) optimization enabling very shortterm wind power generation scheduling based on output feature extraction. Applied Energy. 2019;256:1-10. doi: 10.1016/j.apenergy.2019.113915.

12. Ding M, Wu J. A novel control strategy of hybrid energy storage system for wind power smoothing. Electric Power Components and Systems. 2017;45(12):1265-1274. doi: 10.1080/15325008.2017.1346004.

13. Voropai NI, Etingov PV. Two-Stage Adaptive Fuzzy PSS Application to Power Systems. Proc. of International Conference on Electrical Engineering ICEE'2001, July 22-26, Xi'an, China. 2001;1:314-318.

14. Bulatov Yu. et al. Fuzzy Controller of Rotation Angle of Blades of Horizontal-Axial Wind Power Generation Plant. Advances in Intelligent Systems and Computing. 2019;983:105-115. doi: 10.1007/978-3-030-19868-8_88.

15. Bulatov YuN, Kryukov AV. Neuro Fuzzy Control System for Distributed Generation Plants, Proceedings of the Vth International workshop «Critical infrastructures: Contingency management, Intelligent, Agent-based, Cloud computing and Cyber security» (IWCI 2018), Atlantis Press. Advances in Intelligent Systems Research. 2018;158:13-19.

16. Kryukov AV, Kargapol’cev SK, Bulatov YuN, et al. Intelligent control of the regulators adjustment of the distributed generation installation. Far East Journal of Electronics and Communications. 20173;17(5):1127-1140.

17. Camacho EF, Bordons C. Model Predictive Control. 2nd edition Springer. 2007. 405 p.

18. Pikina G.A. Printsip upravleniya po prognozu i vozmozhnost' nastroiki sistem regulirovaniya odnim parametrom. Novoe v rossiiskoi elektroenergetike. 2014;3:5-13.

19. Bulatov YuN, Kryukov AV, Nguen VKh. Avtoprognosticheskii regulyator chastoty vrashcheniya rotora generatora ustanovki raspredelennoi generatsii. Nauchnyi vestnik Novosibirskogo gosudarstvennogo tekhnicheskogo universiteta. 2017;1 (66):15-25.

20. Anderson PM, Fouad AA. Power System Control and Stability. Second Edition. IEEE Press, 2003. 688 p.


Review

For citations:


Bulatov Yu.N., Kryukov A.V., Suslov K.V. The study of the isolated power supply system operation with controlled distributed generation plants, energy storage units and drive load. Power engineering: research, equipment, technology. 2021;23(5):184-194. (In Russ.) https://doi.org/10.30724/1998-9903-2021-23-5-184-194

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ISSN 1998-9903 (Print)
ISSN 2658-5456 (Online)