Studying the Influence of Synthetic Inertia on Electric Power System Transient Stability
Abstract
Development of wind power around the world is a promising solution to the energy crisis. In power systems with a predominant share of wind power plants connected through power converters, their influence on the power system dynamic properties becomes significant. One of the important problems is reduction of the power system total inertia. In view of this, grid operators place demands on connected wind power plants for active power control and participation in frequency control. One possible solution is using synthetic inertia in the wind power plant control system. Research activities in this field place focus on improving the frequency stability and coordinating the synthetic inertia controller with other wind power plant control systems. However, the influence of synthetic inertia and its tuning on the power system stability are still poorly studied. The paper analyzes the effect of synthetic inertia on the power system transient stability. It is shown that by adjusting the synthetic inertia parameters, it is possible not only to obtain the required inertial response, but also to increase the power system transient stability. The influence of the measurement time window and frequency variation rate calculation, which is important in certain modes, is also studied. The study results are obtained for test and real-scale power system configurations.
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31. Díaz-González F., et al. Participation of Wind Power Plants in System Frequency Control: Review of Grid Code Requirements and Control Methods. – Renewable and Sustainable Energy Reviews, 2014, vol. 34, pp. 551–564, DOI: 10.1016/j.rser.2014.03.040.
32. Van de Vyver J., et al. Droop Control as an Alternative Inertial Response Strategy for the Synthetic Inertia on Wind Turbines. – IEEE Transactions on Power Systems, 2016, vol. 31, No. 2, pp. 1129–1138, DOI: 10.1109/TPWRS.2015.2417758.
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Работа выполнена при поддержке Министерства науки и высшего образования РФ, грант MK-3249.2021.4
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10. Dreidy M., Mokhlis H., Mekhilef S. Inertia Response and Frequency Control Techniques for Renewable Energy Sources: A Review. – Renewable and Sustainable Energy Reviews, 2017, vol. 69, pp. 144–155, DOI: 10.1016/j.rser.2016.11.170.
11. Diaz-Gonzalez F., et al. Participation of Wind Power Plants in System Frequency Control: Review of Grid Code Requirements and Control Methods. – Renewable and Sustainable Energy Reviews, 2014, vol. 34, pp. 551–564, DOI: 10.1016/j.rser.2014.03.040.
12. Ma H. T., Chowdhury B.H. Working Towards Frequency Regulation with Wind Plants: Combined Control Approaches. – Renewable Power Generation, 2010, vol. 4, pp. 308–316, DOI: 10.1049/iet-rpg.2009.0100.
13. Morren J., et al. Wind Turbines Emulating Inertia and Supporting Primary Frequency Control. – IEEE Transactions on Power Systems, 2006, vol. 21, No. 1, pp. 433–434, DOI: 10.1109/TPWRS.2005.861956.
14. Wang Z., Wu W. Coordinated Control Method for DFIG-Based Wind Farm to Provide Primary Frequency Regulation Service. – IEEE Transactions on Power Systems, 2018, vol. 33, No. 3, pp. 2644–2659, DOI: 10.1109/TPWRS.2017.2755685.
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17. Toulabi M., Dobakhshari A.S., Ranjbar A.M. An Adaptive Feedback Linearization Approach to Inertial Frequency Response of Windturbines. – IEEE Transactions on Sustainable Energy, 2017, vol. 8, No. 3, pp. 916–926.
18. Shi Q., Wang G., Ma W. Coordinated Virtual Inertia Control Strategy for D-PMSG Considering Frequency Regulation Ability. – Journal of Electrical Engineering and Technology, 2016, vol. 11, pp. 1921–1935, DOI:10.5370/jeet.2016.11.6.1556.
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22. Leelaruji R., Bollen M. Synthetic Inertia to Improve Frequency Stability and How Often It Is Needed: Energiforsk AB Report. STRI AB, 2015, 68 p.
23. Chamorro H.R., et al. Innovative Primary Frequency Control in Low-Inertia Power Systems Based on Wide-Area RoCoF Sharing. – IET Energy Systems Integration, 2020, 2(2), DOI: 10.1049/iet-esi.2020.0001.
24. ENTSO-E. Rate of Change of Frequency (RoCoF) Withstand Capability ENTSO-E Guidance Document for National Implementation for Network Codes on Grid Connection; ENTSO-E: Brussels, Belgium, 2018.
25. National Grid ESO. Operability Strategy Report; National Grid ESO: Warwick, UK, 2019.
26. Evaluation Report on the Problem of ROCOF Measurement in the Context of Actual Use Cases and the ‘Wish List’ of Accuracy and Latency from an End-user Point of View [Electron. resource], URL: http://www.rocofmetrology.eu (Date of appeal 20.02.2022).
27. UK Distribution Code: DC0079 – Frequency Changes during Large Disturbances and Their Impact on the Total System [Electron. resource], URL: http://www.dcode.org.uk (Date of appeal 20.02.2022).
28. E NTSO-E. High Penetration of Power Electronic Interfaced Power Sources (HPoPEIPS). Guidance Document for National Implementation for Network Codes on Grid Connection. Tech. Rep, 2017, 37 p.
29. Rate of Change of Frequency (ROCOF) Review of TSO and Generator. Submissions Final Report, 2013, 40 p.
30. Duckwitz D., Fischer B. Modeling and Design of df/dt -Based Inertia Control for Power Converters. – IEEE Journal of Emerging and Selected Topics in Power Electronics, 2017, vol. 5, pp. 1553–1564, DOI: 10.1109/JESTPE.2017.2703814.
31. Díaz-González F., et al. Participation of Wind Power Plants in System Frequency Control: Review of Grid Code Requirements and Control Methods. – Renewable and Sustainable Energy Reviews, 2014, vol. 34, pp. 551–564, DOI: 10.1016/j.rser.2014.03.040.
32. Van de Vyver J., et al. Droop Control as an Alternative Inertial Response Strategy for the Synthetic Inertia on Wind Turbines. – IEEE Transactions on Power Systems, 2016, vol. 31, No. 2, pp. 1129–1138, DOI: 10.1109/TPWRS.2015.2417758.
33. Gonzalez-Longatt F.M. Impact of Emulated Inertia from Wind Power on Under-Frequency Protection Schemes of Future Power Systems. – Journal of Modern Power Systems and Clean Energy, 2016, vol. 4, No. 2, pp. 211–218, DOI: 10.1007/s40565-015-0143-x.
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The research was carried out at the expense of the grant of the Russian Science Foundation No. MK-3249.2021.4