Articles

Active power regulation in wind turbines

• 
• 

User Rating:  / 0

PoorBest 

Details

Category: Content №6 2024

Last Updated on 28 December 2024

Published on 30 November -0001

Hits: 149

Authors:

T.V.Liabahova, orcid.org/0009-0007-2304-9869, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

O.B.Ivanov, orcid.org/0000-0001-8085-6690, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2024, (6): 059 - 065

https://doi.org/10.33271/nvngu/2024-6/059

Abstract:

Purpose. To develop a methodology and determine rational parameters of wind energy installations with doubly fed induction generator to ensure maximum efficiency, taking into account changes in wind flow speed and power regulation to maintain stable and efficient operation of the installation.

Methodology. This study used a combination of theoretical analysis and mathematical modeling. Analytical models for estimating wind turbine power were developed through regression analysis, incorporating key parameters such as wind speed, blade pitch angle, and the generator’s synchronous rotation speed.

Findings. Parameters and conditions ensuring maximum power of a wind turbine with a doubly fed induction generator were established and analyzed. It was determined that the efficiency of the wind turbine installation with a doubly fed induction generator depends on the nature of the wind flow. Active power regulation allows for an increase or stabilization of output power with changes in wind speed. The established dependencies allowed for determining the optimal conditions for ensuring maximum power. Mathematical modeling confirmed the theoretical conclusion regarding the increase in electricity generation efficiency with the rational selection of the specified parameters of the wind turbine.

Originality. The influence of key wind turbine parameters on the conditions for realizing the maximum power mode as well as the possibilities of using the speed regulation range of the wind turbine to limit excessive mechanical loads during wind gusts were determined. The study enhances the understanding of how synchronous torque affects the stability of wind generator operations, emphasizing the need for its control to maximize output power under various wind load levels.

Practical value. The established dependencies between key parameters of the wind turbine and their impact on operational efficiency allow for more allow for more precise tuning of wind turbines to achieve maximum productivity during wind gusts. This is crucial during the design and operational phases. The developed methodology for regulating the rotor speed can help reduce operational costs by ensuring stable operation of wind turbines over a wide range of wind speed. The data obtained may also facilitate the development of control systems that automatically adapt wind turbine parameters to changing conditions. This will contribute to increased efficiency of wind energy use and reduced impact of wind turbines on the stability of the power grid.

Keywords: wind turbine, doubly fed induction generator, power regulation, wind turbine parameters

References.

1. Sheng, S., Dou, C., Liu, Y., Zhang, H., & Liu, J. (2023). Hybrid renewable energy systems and storage solutions: A review. Frontiers in Energy Research, 11, 1124203. https://doi.org/10.3389/fenrg.2023.1124203.

2. Mahmoudi Rashid, S. (2024). Employing advanced control, energy storage, and renewable technologies to enhance power system stability. Energy Reports. https://doi.org/10.1016/j.egyr.2024.03.009.

3. Desalegn, B., Gebeyehu, D., & Tamrat, B. (2022). Wind energy conversion technologies and engineering approaches to enhancing wind power generation: A review. Heliyon, 8(11), e11263. https://doi.org/10.1016/j.heliyon.2022.e11263.

4. Jedryczka, C., & Prosciak, J. (2018). Active and reactive power regulation in doubly fed asynchronous generator. ITM Web of Conferences, 19, 01022. https://doi.org/10.1051/itmconf/20181901022.

5. Tavoosi, J., Mohammadzadeh, A., Pahlevanzadeh, B., Kasmani, M. B., Band, S. S., Safdar, R., & Mosavi, A. H. (2022). A machine learning approach for active/reactive power control of grid–connected doubly–fed induction generators. Ain Shams Engineering Journal, 13(101564). https://doi.org/10.1016/j.asej.2021.08.007.

6. Ye, Y., Fu, Y., & Wei, S. (2012). Simulation for Grid Connected Wind Turbines with Fluctuating. Physics Procedia, 24, 253-260. https://doi.org/10.1016/j.phpro.2012.02.038.

7. Ouhrouche, M., Slaoui-Hasnaoui, F., Tameghe, T. A., & Ekemb, G. (2014). Wind turbine condition monitoring: State-of-the-art review, new trends, and future challenges. Energies, 7(4), 2595-2630. https://doi.org/10.3390/en7042595.

8. Lydia, M., Kumar, S., Selvakumar, A. I., & Kumar, G. E. P. (2014). A comprehensive review on wind turbine power curve modeling techniques. Renewable and Sustainable Energy Reviews, 30, 452-460. https://doi.org/10.1016/j.rser.2013.10.030.

9. Jeong, D., Jeon, T., Paek, I., & Lim, D. (2023). Development and Validation of Control Algorithm for Variable Speed Fixed Pitch Small Wind Turbine. Energies, 16(4), 2003. https://doi.org/10.3390/en16042003.

10. Rashid, S. M. (2024). Employing advanced control, energy storage, and renewable technologies to enhance power system stability. Energy Reports, 11, 3202-3223. https://doi.org/10.1016/j.egyr.2024.03.009.

11. Tadesse, A. B., Ayele, E. A., & Olonje, A. O. (2022). Design and Analysis of Rate Predictive Fractional-Order Sliding Mode Controller (RP-FOSMC) for MPPT and Power Regulation of DFIG-based Wind Energy Conversion System (WECS). Energy Reports, 8(5), 11751-11768. https://doi.org/10.1016/j.egyr.2022.09.026.

12. Kealy, T. (2022). The need for energy storage on renewable energy generator outputs to lessen the Geeth effect, i.e. short-term variations mainly associated with wind turbine active power output. Energy Reports, 8, 12845-12857. https://doi.org/10.1016/j.egyr.2022.12.040.

13. Mwaniki, J., Lin, H., & Dai, Z. (2017). A Condensed Introduction to the Doubly Fed Induction Generator Wind Energy Conversion Systems. Journal of Engineering, Volume 2017, Article ID 2918281. https://doi.org/10.1155/2017/2918281.

14. Okedu, K. E., & Barghash, H. F. A. (2020). Enhancing the Performance of DFIG Wind Turbines Considering Excitation Parameters of the Insulated Gate Bipolar Transistors and a New PLL Scheme. Frontiers in Energy Research, 8, 620277. https://doi.org/10.3389/fenrg.2020.620277.

15. Li, C., Cao, Y., Li, B., Wang, S., & Chen, P. (2024). A novel power control scheme for distributed DFIG based on cooperation of hybrid energy storage system and grid-side converter. International Journal of Electrical Power and Energy Systems. https://doi.org/10.1016/j.ijepes.2024.109801.

16. Nejad, A. R., Keller, J., Guo, Y., Sheng, S., Polinder, H., Watson, S., ..., & Helsen, J. (2022). Wind turbine drivetrains: state-of-the-art technologies and future development trends. Wind Energy Science, 7, 387-411. https://doi.org/10.5194/wes-7-387-2022.

17. Conlon, M., Narayana, M., & Sunderland, K. (2022). Wind energy harvesting and conversion systems: A technical review. Energies, 15(24), 9299. https://doi.org/10.3390/en15249299.

18. Khan, A., Aragon, D. A., Seyyedmahmoudian, M., Mekhilef, S., & Stojcevski, A. (2023). Inertia emulation control of PMSG-based wind turbines for enhanced grid stability in low inertia power systems. International Journal of Electrical Power and Energy Systems. https://doi.org/10.1016/j.ijepes.2023.109740.

19. Hu, J., Lei, Y., Chi, Y., & Tian, X. (2022). Analysis on the inertia and the damping characteristics of DFIG under multiple working conditions based on the grid-forming control. Energy Reports, 8, 591-604. https://doi.org/10.1016/j.egyr.2022.09.200.

20. Dessalegn, B., Gebeyehu, D., & Tamirat, B. (2023). Smoothing electric power production with DFIG-based wind energy conversion technology by employing hybrid controller model. Energy Reports, 10(1), 38-50. https://doi.org/10.1016/j.egyr.2023.06.004.

21. Yuan, H., Wang, D., & Zhou, X. (2023). Frequency support of DFIG-based wind turbine via virtual synchronous control of inner voltage vector. Electric Power Systems Research. https://doi.org/10.1016/j.epsr.2023.109823.

• < Prev
• Next >