Modeling the Operation of a Wind Power Plant with Full Energy Conversion

Authors

  • Oleksandr Shkurpela O.M. Beketov National University of Urban Economy in Kharkiv
  • Dmytro Kovalenko O.M. Beketov National University of Urban Economy in Kharkiv
  • Andrii Kutinov O.M. Beketov National University of Urban Economy in Kharkiv

DOI:

https://doi.org/10.33042/2079-424X.2024.63.2.04

Keywords:

Converter System, Wind Energy System, Modeling, Power supply system

Abstract

The article provides an analysis of the operation of a wind power plant with full energy conversion based on an asynchronous generator with a short-circuited rotor. The possibil-ity of optimizing the operation of the asynchronous generator at low speeds of shaft rota-tion allows to expand the range of effective use of the wind power plant at unstable wind speed and opens up wide opportunities for the application of intelligent control systems for the asynchronous generator, in contrast to the generator based on a synchronous ma-chine with permanent magnets. These advantages are achieved due to the use of convert-ing technology, which in turn requires the use of a complex control system, the sequence of turning on the converters and the separation of control and feedback loops. The use of an asynchronous generator with a short-circuited rotor requires the presence of an initial magnetization of the machine for further operation, this can be achieved in several ways either from the network or from the storage, in the case of an autonomous system with a wind energy installation. In the course of the work, it was shown that non-compliance with the start-up procedure of the wind energy installation may result in abnormal modes accompanied by significant current and dynamic mechanical overloads of the machine and the installation's converters. The resulting simulation model can be used for research and comparative analysis of the operating modes of wind turbines with different types of generators and optimization of their control system in order to maximize the generated power from wind energy in various conditions.

Author Biographies

Oleksandr Shkurpela, O.M. Beketov National University of Urban Economy in Kharkiv

Ph.D., Assistant Professor
Department of Alternative Power Engineering and Electrical Engineering

Dmytro Kovalenko, O.M. Beketov National University of Urban Economy in Kharkiv

Postgraduate Student
Department of Alternative Power Engineering and Electrical Engineering

Andrii Kutinov, O.M. Beketov National University of Urban Economy in Kharkiv

Postgraduate Student
Department of Alternative Power Engineering and Electrical Engineering

References

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

Shkurpela, O., Tugay, D., & Korneliuk, S. (2022). Prospects of implementation of a synchronous reluctance machine in low power wind plants. In 2022 IEEE 8th International Conference on Energy Smart Systems (ESS) (pp. 139–143). IEEE. https://doi.org/10.1109/ESS57819.2022.9969312

Petrila, D., Blaabjerg, F., Muntean, N., & Lascu, C. (2012). Fuzzy logic based MPPT controller for a small wind turbine system. In 2012 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) (pp. 993–999). IEEE. https://doi.org/10.1109/OPTIM.2012.6231936

Iegorov, O., Iegorova, O., Miroshnyk, O., & Savchenko, O. (2020). Improving the accuracy of determining the parameters of induction motors in transient starting modes. Energetika, 66(1), 15–23. https://doi.org/10.6001/energetika.v66i1.4295

Abdullah, M.A., Yatim, A.H.M., Tan, C.W., & Saidur, R. (2012). A review of maximum power point tracking algorithms for wind energy systems. Renewable and Sustainable Energy Reviews, 16(5), 3220–3227. https://doi.org/10.1016/j.rser.2012.02.016

Sitharthan, R., Karthikeyan, M., Sundar, D. S., & Rajasekaran, S. (2020). Adaptive hybrid intelligent MPPT controller to approximate effectual wind speed and optimal rotor speed of variable speed wind turbine. ISA Transactions, 96, 479–489. https://doi.org/10.1016/j.isatra.2019.05.029

Meghni, B., Saadoun, A., Dib, D., & Amirat, Y. (2015). Effective MPPT technique and robust power control of the PMSG wind turbine. IEEJ Transactions on Electrical and Electronic Engineering, 10(6), 619–627. https://doi.org/10.1002/tee.22128

Karakasis, N. E., & Mademlis, C. A. (2018). High efficiency control strategy in a wind energy conversion system with doubly fed induction generator. Renewable Energy, 125, 974–984. https://doi.org/10.1016/j.renene.2018.03.020

Rezaei, M.M. (2018). A nonlinear maximum power point tracking technique for DFIG-based wind energy conversion systems. Engineering science and technology, an international journal, 21(5), 901–908. https://doi.org/10.1016/j.jestch.2018.07.005

Chen, J., Yao, W., Zhang, C.K., Ren, Y., & Jiang, L. (2019). Design of robust MPPT controller for grid-connected PMSG-Based wind turbine via perturbation observation based nonlinear adaptive control. Renewable Energy, 134, 478–495. https://doi.org/10.1016/j.renene.2018.11.048

Liu, J., Gao, Y., Geng, S., & Wu, L. (2016). Nonlinear control of variable speed wind turbines via fuzzy techniques. IEEE Access, 5, 27–34. https://doi.org/10.1109/ACCESS.2016.2599542

Hannan, M.A., Parvin, K., Kit, Y.K., Jern, K.P., & Hoque, M.M. (2019). Particle swarm optimization based fuzzy logic MPPT inverter controller for grid connected wind turbine. International Journal of Renewable Energy Research, 9(1), 164–174. https://doi.org/10.20508/ijrer.v9i1.8682.g7574

Qi, L., Zheng, L., Bai, X., Chen, Q., Chen, J., & Chen, Y. (2020). Nonlinear maximum power point tracking control method for wind turbines considering dynamics. Applied Sciences, 10(3), 811. https://doi.org/10.3390/app100

Tan, K., & Islam, S. (2004). Optimum control strategies in energy conversion of PMSG wind turbine system without mechanical sensors. IEEE Transactions on Energy Conversion, 19(2), 392–399. https://doi.org/10.1109/TEC.2004.827038

Ahmed, M.M., Hassanein, W.S., Elsonbaty, N.A., & Enany, M.A. (2020). Proposing and evaluation of MPPT algorithms for high-performance stabilized WIND turbine driven DFIG. Alexandria Engineering Journal, 59(6), 5135–5146. https://doi.org/10.1016/j.aej.2020.09.043

Nasiri, M., Milimonfared, J., & Fathi, S.H. (2014). Modeling, analysis and comparison of TSR and OTC methods for MPPT and power smoothing in permanent magnet synchronous generator-based wind turbines. Energy Conversion and Management, 86, 892–900. https://doi.org/10.1016/j.enconman.2014.06.055

Tugay, D., & Shkurpela, O. (2021). Simulation of smart grid system operating modes based on solar photovoltaic station and electrical energy storage device. In 2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek) (pp. 288–291). IEEE. https://doi.org/10.1109/KhPIWeek53812.2021.9570042

Nerubatskyi, V., Plakhtii, O., & Hordiienko, D. (2021). Control and accounting of parameters of electricity consumption in distribution networks. In 2021 XXXI International Scientific Symposium Metrology and Metrology Assurance (MMA) (pp. 1–4). IEEE. https://doi.org/10.1109/MMA52675.2021.9610907

Plakhtii, O., Nerubatskyi, V., Scherbak, Y., Mashura, A., & Khomenko, I. (2020). Energy efficiency criterion of power active filter in a three-phase network. In 2020 IEEE KhPI Week on Advanced Technology (KhPIWeek) (pp. 165–170). IEEE. https://doi.org/10.1109/KhPIWeek51551.2020.9250073

Nerubatskyi, V.P., Plakhtii, O.A., Tugay, D.V., & Hordiienko, D.A. (2021). Method for optimization of switching frequency in frequency converters. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (1), 103–110. https://doi.org/10.33271/nvngu/2021-1/103

Kumar, Y., Ringenberg, J., Depuru, S.S., Devabhaktuni, V.K., Lee, J.W., Nikolaidis, E., ... & Afjeh, A. (2016). Wind energy: Trends and enabling technologies. Renewable and Sustainable Energy Reviews, 53, 209–224. https://doi.org/10.1016/j.rser.2015.07.200

Downloads

Published

2024-08-30

How to Cite

Shkurpela, O., Kovalenko, D., & Kutinov, A. (2024). Modeling the Operation of a Wind Power Plant with Full Energy Conversion. Lighting Engineering & Power Engineering, 63(2), 59–65. https://doi.org/10.33042/2079-424X.2024.63.2.04