Effective participation of wind turbines in frequency control of a two-area power system using coot optimization

Mahmoud Hussain El-Bahay; Mohammed Elsayed Lotfy; Mohamed A. El-Hameed

doi:10.1186/s41601-023-00289-8

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Effective participation of wind turbines in frequency control of a two-area power system using coot optimization

Original Research | 更新时间：2026-09-30

- Effective participation of wind turbines in frequency control of a two-area power system using coot optimization
- Protection and Control of Modern Power Systems Vol. 8, Issue 1, Pages: 1-15(2023)
- 作者机构：
  
  1. Electrical Power and Machines Department, Faculty of Engineering, Zagazig University, Zagazig,Egypt
  2. ECEN Department, Faculty of Engineering, A'Sharqiyah University, Ibra,Oman
- 作者简介：
- 基金信息：
- DOI：10.1186/s41601-023-00289-8
  CLC：
- Published：01 January 2023
- 稿件说明：
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Mahmoud Hussain El-Bahay, Mohammed Elsayed Lotfy, Mohamed A. El-Hameed. Effective participation of wind turbines in frequency control of a two-area power system using coot optimization[J]. Protection and Control of Modern Power Systems, 2023, 8(1): 1-15.
DOI：

Mahmoud Hussain El-Bahay, Mohammed Elsayed Lotfy, Mohamed A. El-Hameed. Effective participation of wind turbines in frequency control of a two-area power system using coot optimization[J]. Protection and Control of Modern Power Systems, 2023, 8(1): 1-15. DOI： 10.1186/s41601-023-00289-8.

摘要

Abstract

In this paper

load frequency control is performed for a two-area power system incorporating a high penetration of renewable energy sources. A droop controller for a type 3 wind turbine is used to extract the stored kinetic energy from the rotating masses during sudden load disturbances. An auxiliary storage controller is applied to achieve effective frequency response. The coot optimization algorithm (COA) is applied to allocate the optimum parameters of the fractional-order proportional integral derivative (FOPID)

droop and auxiliary storage controllers. The fitness function is represented by the summation of integral square deviations in tie line power

and Areas 1 and 2 frequency errors. The robustness of the COA is proven by comparing the results with benchmarked optimizers including: atomic orbital search

honey badger algorithm

water cycle algorithm and particle swarm optimization. Performance assessment is confirmed in the following four scenarios: (i) optimization while including PID controllers; (ii) optimization while including FOPID controllers; (iii) validation of COA results under various load disturbances; and (iv) validation of the proposed controllers under varying weather conditions.

关键词

Keywords

references

1. Robles, E., Haro-Larrode, M., Santos-Mugica, M., Etxegarai, A, Tedeschi, E. ( 2019 ). Comparative analysis of european grid codes relevant to offshore renewable energy installations. Renewable and Sustainable Energy Reviews , 102, pp. 171–185. [Online ] . Available: https://doi.org/10.1016/j.rser.2018.12.002.

2. Tang, Z. X., Lim, Y. S., Morris, S., Yi, J. L., Lyons, P. F., Taylor, P. C. ( 2019 ). A comprehensive work package for energy storage systems as a means of frequency regulation with increased penetration of photovoltaic systems. International Journal of Electrical Power Energy Systems , 110, pp. 197–207. [Online ] . Available: https://doi.org/10.1016/j.ijepes.2019.03.002.

3. Fernández-Guillamón, A, Gómez-Lázaro, E., Muljadi, E., Molina-García, A. ( 2019 ). Power systems with high renewable energy sources: A review of inertia and frequency control strategies over time. Renewable and Sustainable Energy Reviews , 115, p. 109369. [Online ] . Available: https://doi.org/10.1016/j.rser.2019.109369.

4. Fini, M. H., Golshan, M. E. H. ( 2019 ). Frequency control using loads and generators capacity in power systems with a high penetration of renewables. Electric Power Systems Research , 166, pp. 43–51. [Online ] . Available: https://doi.org/10.1016/j.epsr.2018.09.010.

5. Akram, U., Nadarajah, M., Shah, R., Milano, F. ( 2020 ). A review on rapid responsive energy storage technologies for frequency regulation in modern power systems. Renewable and Sustainable Energy Reviews , 120, p. 109626. [Online ] . Available: https://doi.org/10.1016/j.rser.2019.109626.

6. Sebastián, R. ( 2016 ). Application of a battery energy storage for frequency regulation and peak shaving in a wind diesel power system. IET Generation Transmission Distribution , 10 ( 3 ), pp. 764–770. [Online ] . Available: https://doi.org/10.1049/iet-gtd.2015.0435.

7. Turk, A, Sandelic, M., Noto, G., Pillai, J. R., Chaudhary, S. K. ( 2019 ). Primary frequency regulation supported by battery storage systems in power system dominated by renewable energy sources. The Journal of Engineering , 18, pp. 4986–4990. [Online ] . Available: https://doi.org/10.1049/joe.2018.9349.

8. Magdy, G., Mohamed, E.A, Shabib, G., Elbaset, A.A, Mitani, Y. ( 2018 ). SMES based a new PID controller for frequency stability of a real hybrid power system considering high wind power penetration. IET Renewable Power Generation , 12 ( 11 ), pp. 1304–1313. [Online ] . Available: https://doi.org/10.1049/iet-rpg.2018.5096.

9. Zargar, M. Y., Mufti, M. U. D., Lone, S. A. ( 2017 ). Adaptive predictive control of a small capacity SMES unit for improved frequency control of a wind-diesel power system. IET Renewable Power Generation , 11 ( 14 ), pp. 1832–1840. [Online ] . Available: https://doi.org/10.1049/iet-rpg.2017.0074.

10. Jami, M., Shafiee, Q., Gholami, M., Bevrani, H. ( 2020 ). Control of a super-capacitor energy storage system to mimic inertia and transient response improvement of a direct current micro-grid. Journal of Energy Storage , 32, p. 101788. [Online ] . Available: https://doi.org/10.1016/j.est.2020.101788.

11. Singh, K. ( 2021 ). Enhancement of frequency regulation in tidal turbine power plant using virtual inertia from capacitive energy storage system. Journal of Energy Storage , 35, p. 102332. [Online ] . Available: https://doi.org/10.1016/j.est.2021.102332.

12. Yan, G., Liang, S., Jia, Q., Cai, Y. ( 2019 ). Novel adapted de-loading control strategy for PV generation participating in grid frequency regulation. The Journal of Engineering , 2019 ( 16 ), pp. 3383–3387. [Online ] . Available: https://doi.org/10.1049/joe.20 18.8481.

13. Zarina, P., Mishra, S., Sekhar, P. ( 2012 ). Deriving inertial response from a non-inertial PV system for frequency regulation. In 2012 IEEE international conference on power electronics, drives and energy systems (PEDES) (pp. 1–5.) [Online ] . Available: https://doi.org/10.1109/PEDES.2012.6484409.

14. Li, M., Wang, Y. ( 2020 ). Research of frequency coordinated Control Strategy based on variable de-loading level for D-PMSG wind turbine. Journal of Electrical Engineering Technology , 15 ( 6 ), pp. 2563–2576. [Online ] . Available: https://doi.org/10.1007/s42835-020-00552-0.

15. Vidyanandan, K., Senroy, N. ( 2012 ). Primary frequency regulation by deloaded wind turbines using variable droop. IEEE transactions on Power Systems , 28 ( 2 ), pp. 837–846. [Online ] . Available: https://doi.org/10.1109/TPWRS.2012.2208233.

16. Zhang, X., Zha, X., Yue, S., Chen, Y. ( 2018 ). A frequency regulation strategy for wind power based on limited over-speed de-loading curve partitioning. IEEE Access: Practical Innovations, Open Solutions , 6, pp. 22938–22951. [Online ] . Available: https://doi.org/10.1109/Access.2018.2825363.

17. Morren, J., De Haan, S. W., Kling, W. L., Ferreira, J. ( 200 6 ). Wind turbines emulating inertia and supporting primary frequency control. IEEE Transactions on Power Systems , 21 ( 1 ), pp. 433–434. [Online ] . Available: https://doi.org/10.1109/TPWRS.2005.861956.

18. Zhang, W., Fang, K. ( 2017 ). Controlling active power of wind farms to participate in load frequency control of power systems. IET Generation Transmission Distribution , 11 ( 9 ), pp. 2194–2203. [Online ] . Available: https://doi.org/10.1049/iet-gtd.2016.1471.

19. Su, C., Chen, Z. ( 2012 ). Influence of wind plant ancillary frequency control on system small signal stability. In 2012 IEEE power and energy society general meeting (pp. 1–8 ). [Online ] . Available: https://doi.org/10.1109/PESGM.2012.6345411.

20. Zhang, Z., Wang, Y., Li, H., Su, X. ( 2013 ). Comparison of inertia control methods for DFIG-based wind turbines. In 2013 IEEE ECCE Asia Downunder , 2013 (pp. 960–964 ). [Online ] . Available: https://doi.org/10.1109/ECCE-Asia.2013.6579222.

21. EI-Hameed, M. A, Elkholy, M. M., EI-Fergany, A. A. ( 2019 ). Efficient frequency regulation in highly penetrated power systems by renewable energy sources using stochastic fractal optimiser. IET Renewable Power Generation , 13 ( 12 ), pp. 2174–2183. [Online ] . Available: https://doi.org/10.1049/iet-rpg.2019.0186.

22. Hwang, M., Muljadi, E., Park, J. W., Sørensen, P., Kang, Y. C. ( 2016 ). Dynamic droop-based inertial control of a doubly-fed induction generator. IEEE Transactions on Sustainable Energy , 7 ( 3 ), pp. 924–933. [Online ] . Available: https://doi.org/10.1109/TSTE.2015.2508792.

23. Van de Vyver, J., De Kooning, J. D., Meersman, B., Vandevelde, L., Vandoorn, T. L. ( 2015 ). Droop control as an alternative inertial response strategy for the synthetic inertia on wind turbines. IEEE Transactions on Power Systems , 31 ( 2 ), pp. 1129–1138. [Online ] . Available: https://doi.org/10.1109/TPWRS.2015.2417758.

24. Fathy, A, Yousri, D., Rezk, H., Thanikanti, S. B., Hasanien, H. M. ( 2022 ). A Robust Fractional-Order PID Controller based load frequency control using modified Hunger Games search optimizer. Energies , 15 ( 1 ), p. 361. [Online ] . Available: https://doi.org/10.3390/en15010361.

25. Wang, L., Yu, J. Y., Chen, Y. T. ( 2011 ). Dynamic stability improvement of an integrated offshore wind and marine-current farm using a flywheel energy-storage system. IET Renewable Power Generation , 5 ( 5 ), pp. 387–396. [Online ] . Available: https://doi.org/10.1049/iet-rpg.2010.0194.

26. Abazari, A, Monsef, H., Wu, B. ( 2019 ). Load frequency control by deloaded wind farm u sing the optimal fuzzy-based PID droop controller. IET Renewable Power Generation , 13 ( 1 ), pp. 180–190. [Online ] . Available: https://doi.org/10.1049/iet-rpg.2018.5392.

27. Abazari, A, Ghazavi Dozein, M., Monsef, H., Wu, B. ( 2019 ). Wind turbine participation in micro-grid frequency control through self-tuning, adaptive fuzzy droop in de-loaded area. IET SmartGrid , 2 ( 2 ), pp. 301–308. [Online ] . Available: https://doi.org/10.1049/iet-stg.2018.0095.

28. Gaur, P., Bhowmik, D., Soren, N. ( 2019 ). Utilisation of plug-in electric vehicles for frequency regulation of multi-area thermal interconnected power system. IET Energy Systems Integration , 1 ( 2 ), pp. 88–96. [Online ] . Available: https://doi.org/10.1049/iet-esi.2018.0028.

29. Mohapatra, T. K., Dey, A. K., Sahu, B. K. ( 2020 ). Employment of quasi oppositional SSA-based two-degree-of-freedom fractional order PID controller for AGC of assorted source of generations. IET Generation Transmission Distribution , 14 ( 17 ), pp. 3365–3376. [Online ] . Available: https://doi.org/10.1049/iet-gtd.2019.0284.

30. Kazemi, M.V, Gholamian, S.A, Sadati, J. ( 2020 ). Adaptive fractional-order control of power system frequency in the presence of wind turbine. IET Generation, Transmission Distribution , 14 ( 4 ), pp. 594–605. [Online ] . Available: https://doi.org/10.1049/iet-gtd.2019.0458.

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