Analysis of operating modes of wind farms

RELEVANCE of the study is related to the increasing development of wind energy in Russia. As a result of the growth of wind farms installed capacity in the Russian energy system, it becomes necessary to analyze their operating modes in the direction of electric power regime operating. THE PURPOSE. Analysis of wind farms operating modes in foreign power systems in order to interpolate the results for Russian conditions. The analysis of wind farms operating modes is based on indicators characterizing the power system flexibility: rate of power change and amplitude of power change. In this regard, it is necessary to carry out a quantitative assessment of the indicators and identify patterns of their change. METHODS. Piecewise linear approximation of wind farms generation schedule time series was used to create the models. Statistical methods were used to process the results. Calculations is carried out in the Microsoft Excel software package. RESULTS. The calculation results show that the oscillation amplitude can reach a maximum value of up to 80% of the installed capacity of the wind power plant. Similar results were obtained earlier in the analysis of wind power plant capacity fluctuations in the Czech power system. At the same time, in the considered example, oscillations with an amplitude of up to 20% of the in-stalled capacity of the wind power plant are the longest - about 80% of the time during the year. CONCLUSION. Continuous development of wind farms sets the task of analyzing their impact on the operating modes of electric power systems. First of all, wind farms affect the control range and the rate of change in the capacity of other power plants operating in power system. The article studies the operating modes of power systems with a large share of wind farms installed capacity. Considering the ongoing construction of wind farms in the Russian energy system, the obtained results can be used in planning and managing electric power regimes.

1. Teplov BD, Radin YuA Increasing the maneuverability and economic efficiency of CCGT operation in the context of the wholesale electricity and capacity market. Thermal Power Engineering. 2019; 5: 39-47. (In Russ). doi: 10.1134/S0040363619050096.

2. Renewable Energy Development Association [Electronic resource] - Access mode: https://rreda.ru/industry/statistics/

3. Kojima H, Nagasawa K, Todoroki N, et al. Influence of renewable energy power fluctuations on water electrolysis for green hydrogen production, International Journal of Hydrogen Energy. 2023; 48(12):4572-4593 doi:10.1016/j.ijhydene.2022.11.018.

4. Zhang L, Zhang T, Zhang K, Hu W Research on power fluctuation strategy of hybrid energy storage to suppress wind-photovoltaic hybrid power system. Energy Reports. 2023; 10: 3166-3173. doi:10.1016/j.egyr.2023.09.176.

5. Frate GF, Cherubini P, Tacconelli C, et al. Ramp rate abatement for wind energy integration in microgrids. Energy Procedia. 2019; 159: 292-297, doi:10.1016/j.egypro.2019.01.013.

6. Zhu N, Wang Y, Yuan K, et al. Peak interval-focused wind power forecast with dynamic ramp considerations. International Journal of Electrical Power & Energy Systems. 2024; 163: 110340, doi:10.1016/j.ijepes.2024.110340.

7. Monie SW, Åberg M Potential to balance load variability, induced by renewable power, using rock cavern thermal energy storage, heat pumps, and combined heat and power in Sweden. Applied Energy. 2023; 343: 121210, doi:10.1016/j.apenergy.2023.121210.

8. Mishra S, Leinakse M, Palu I Wind power variation identification using ramping behavior analysis. Energy Procedia. 2017; 141: 565-571, doi:10.1016/j.egypro.2017.11.075.

9. Sambeet Mishra, Esin Ören, Chiara Bordin, Fushuan Wen, Ivo Palu, Features extraction of wind ramp events from a virtual wind park, Energy Reports, Volume 6, Supplement 6, 2020, Pages 237-249, ISSN 2352-4847, https://doi.org/10.1016/j.egyr.2020.08.047.

10. Pichault, M., Vincent, C., Skidmore, G., and Monty, J.: Characterisation of intra-hourly wind power ramps at the wind farm scale and associated processes, Wind Energ. Sci., 6, 131–147, https://doi.org/10.5194/wes-6-131-2021, 2021.

11. Sambeet Mishra, Madis Leinakse, Ivo Palu, Wind power variation identification using ramping behavior analysis, Energy Procedia, Volume 141, 2017, Pages 565-571, ISSN 1876-6102, https://doi.org/10.1016/j.egypro.2017.11.075.

12. 50Hertz Transmission GmbH [Electronic resource] - Access mode: https://www.50hertz.com/en/Transparency/GridData/Production/Windpower

13. Rahman S, Khan I, Alkhammash HI, Nadeem MF A Comparison Review on Transmission Mode for Onshore Integration of Offshore Wind Farms: HVDC or HVAC. Electronics. 2021;10:1489. doi:10.3390/electronics10121489

14. Xu Z, Jin Y, Zhang Z, Huang Y Eight Typical Schemes of Offshore Wind Power Transmission and Their Key Technical Problems. Energies. 2023;16: 658. doi:10.3390/en16020658

15. Torres Olguin R. E., Garces, A., Bergna, G. HVDC Transmission for Offshore Wind Farms. In: Hossain, J., Mahmud, A. (eds) Large Scale Renewable Power Generation. Green Energy and Technology. Springer, Singapore, 2014. doi:10.1007/978-981-4585-30-9_11

16. Sigitov O. Yu. Development of a method for rational placement of wind power plants in the electric power system: author's abstr. dis. ... candidate of technical sciences. M., 2022. 20 p.

17. Sigitov OYu, Kupreev SA, Mnatsakanyan VU Positive effect of distribution of wind power plants in the electric power system// Bulletin of the Peoples' Friendship University of Russia. Series: Engineering Research. 2023; 24 (2): 157-165.

18. Sigitov OYu, Vivchar AN Problems of control of wind and thermal power plants in the electric power system. Electric Stations. 2022; 12 (1097):2-9.

19. Dotzauer M, Pfeiffer D, Lauer M, et al. How to measure flexibility – performance indicators for demand driven power generation from biogas plants. Renewable Energy. 2019; 134: 135-146, doi:10.1016/j.renene.2018.10.021.

20. Kamath C. Understanding wind ramp events through analysis of historical data, Proceedings of the IEEE PES T&D 2010, New Orleans, LA, USA, 2010, pp. 1-6, doi:10.1109/TDC.2010.5484508.

21. Florita A. R. et al. Identifying Wind and Solar Ramping Events. Proceedings of the 2013 IEEE Green Technologies Conference (GreenTech); 2013. pp. 147-152.

22. Radin YuA, Sigitov OY, Zorchenko NV Requirements for the maneuverability of thermal power plants in power systems with wind power plants. Electric stations. 2025; 1(1122):17-25. doi:10.71841/EP.ELST.2025.1122.1.02.

23. Sigitov, O. Yu. Development of an algorithm for estimating wind power plant power fluctuations. Electric Power Industry through the Eyes of Young People: Proceedings of the XIV International Scientific and Technical Conference (October 1–4, 2024): In 2 vols. Vol. 2. Stavropol: North Caucasian Federal University, 2024.