© The Institution of Engineering and Technology
The occurrence of unstable subsynchronous control interaction (SSCI) between wind farms and series-compensated networks poses a considerable threat to the safety of power system. Different from the conventional eigenvalue analysis and Nyquist method, the black-box-model based RLC fitting technique becomes more attractive for the assessment of the SSCI risk. However, the method has merely been verified by radial networks whose SSCI mode can be well explained by an RLC circuit. A practical wind power system, however, can be meshed networks comprising multiple geographically distributed wind farms and series capacitors. Thus, it is questionable whether the application of the RLC fitting technique to such systems can still yield a sufficient accuracy. To clarify this aspect, in this work, the performance of RLC fitting in various test systems was examined. The results indicated that the aggregation technique considerably influences the accuracy of the assessment, and the RLC fitting cannot be applied when multiple series capacitors are involved in the SSCI mode. To address this problem, a more advanced frequency-domain fitting technique known as vector fitting was adopted, and its robustness and effectiveness were verified considering a modified The Electric Reliability Council of Texas (ERCOT) system.
References
-
-
1)
-
3. Wang, L., Xie, X., Jiang, Q., et al: ‘Investigation of SSR in practical DFIG-based wind farms connected to a series-compensated power system’, IEEE Trans. Power Syst., 2015, 30, (5), pp. 2772–2779.
-
2)
-
10. Ostadi, A., Yazdani, A., Varma, R.: ‘Modeling and stability analysis of a DFIG-based wind-power generator interfaced with a series-compensated line’, IEEE Trans. Power Deliv., 2009, 24, (3), pp. 1504–1514.
-
3)
-
19. Cheng, Y., Huang, S.H., Rose, J.: ‘A series capacitor based frequency scan method for SSR studies’, IEEE Trans. Power Deliv., 2019, 34, (6), pp. 2135–2144.
-
4)
-
13. Familiant, Y.A., Huang, J., Corzine, K.A., et al: ‘New techniques for measuring impedance characteristics of three-phase AC power systems’, IEEE Trans. Power Electron., 2009, 24, (7), pp. 1802–1810.
-
5)
-
5. Faried, S. O., Unal, I., Rai, D., et al: ‘Utilizing DFIG-based wind farms for damping subsynchronous resonance in nearby turbine generators’, IEEE Trans. Power Syst., 2013, 28, (1), pp. 452–459.
-
6)
-
4. Sainz, L., Monjo, L., Cheah-Mane, M., et al: ‘Assessment of subsynchronous oscillations in AC grid-connected VSC systems with type-4 wind turbines’, IET Renew. Power Gener., 2019, 13, (16), pp. 3088–3096.
-
7)
-
16. Valdivia, V., Lázaro, A., Barrado, A., et al: ‘Impedance identification procedure of three-phase balanced voltage source inverters based on transient response measurements’, IEEE Trans. Power Electron., 2011, 26, (12), pp. 3810–3816.
-
8)
-
20. Liu, H., Xie, X., Gao, X., et al: ‘Stability analysis of SSR in multiple wind farms connected to series-compensated systems using impedance network model’, IEEE Trans. Power Syst., 2018, 33, (3), pp. 3118–3128.
-
9)
-
12. Mohammadpour, H.A., Santi, E.: ‘Modeling and control of gate-controlled series capacitor interfaced with a DFIG-based wind farm’, IEEE Trans. Ind. Electron., 2015, 62, (2), pp. 1022–1033.
-
10)
-
30. Vieto, I., Sun, J.: ‘Sequence impedance modeling and analysis of type-III wind turbines’, IEEE Trans. Energy Convers., 2018, 33, (2), pp. 537–545.
-
11)
-
24. Mahish, P., Pradhan, A.K.: ‘Mitigating subsyn-chronous resonance using synchrophasor data based control of wind farms’, IEEE Trans. Power Deliv., 2020, 35, (1), pp. 364–376.
-
12)
-
18. Miao, Z.: ‘Impedance model based SSR analysis for type 3 wind generator and series-compensated network’, IEEE Trans. Energy Convers., 2012, 27, (4), pp. 984–991.
-
13)
-
7. Knüppel, T., Nielsen, J.N., Jensen, K.H., et al: ‘Small-signal stability of wind power system with full-load converter interfaced wind turbines’, IET Renew. Power Gener., 2012, 6, (2), pp. 79–91.
-
14)
-
2. Liu, H., Xie, X., Zhang, C., et al: ‘Quantitative SSR analysis of series-compensated DFIG-based wind farms using aggregated RLC circuit model’, IEEE Trans. Power Syst., 2016, 32, (1), pp. 474–483.
-
15)
-
15. Liu, W., Xie, X., Zhang, X., et al: ‘Frequency-coupling admittance modeling of converter-based wind turbine generators and the control-hardware-in-the-loop validation’, IEEE Trans. Energy Convers., 2020, 35, (1), pp. 425–433.
-
16)
-
29. Gustavsen, B., Semlyen, A.: ‘Simulation of trans-mission line transients using vector fitting and modal decomposition’, IEEE Trans. Power Deliv., 1998, 13, (2), pp. 605–614.
-
17)
-
8. Geng, H., Xi, X., Yang, G.: ‘Small-signal stability of power system integrated with ancillary-controlled large-scale DFIG-based wind farm’, IET Renew. Power Gener., 2017, 11, (8), pp. 1191–1198.
-
18)
-
11. Varma, R.K., Moharana, A.: ‘SSR in double-cage induction generator-based wind farm connected to series-compensated transmission line’, IEEE Trans. Power Syst., 2013, 28, (3), pp. 2573–2583.
-
19)
-
27. Sheshyekani, K., Karami, H.R., Dehkhoda, P., et al: ‘Application of the matrix pencil method to rational fitting of frequency domain responses’, IEEE Trans. Power Deliv., 2012, 27, (4), pp. 2399–2408.
-
20)
-
23. Ziaee, O., Alizadeh-Mousavi, O., Choobineh, F.F.: ‘Co-optimization of transmission expansion planning and TCSC placement considering the correlation between wind and demand scenarios’, IEEE Trans. Power Syst., 2018, 33, (1), pp. 206–215.
-
21)
-
1. Gu, K., Wu, F., Zhang, X.: ‘Sub-synchronous interactions in power systems with wind turbines: a review’, IET Renew. Power Gener., 2019, 13, (1), pp. 4–15.
-
22)
-
9. Ugalde-Loo, C.E., Ekanayake, J.B., Jenkins, N.: ‘State-space modeling of wind turbine generators for power system studies’, IEEE Trans. Ind. Appl., 2013, 49, (1), pp. 223–232.
-
23)
-
33. Fan, L., Zhu, C., Miao, Z., et al: ‘Modal analysis of a DFIG-based wind farm interfaced with a series compensated network’, IEEE Trans. Energy Convers., 2011, 26, (4), pp. 1010–1020.
-
24)
-
31. Moharana, A., Varma, R.K., Seethapathy, R.: ‘SSR alleviation by STATCOM in induction-generator-based wind farm connected to series compensated line’, IEEE Trans. Sustain. Energy, 2014, 5, (3), pp. 947–957.
-
25)
-
17. Cheng, Y., Huang, S.H., Rose, J., et al: ‘Subsynchronous resonance assessment for a large system with multiple series compensated transmission circuits’, IET Renew. Power Gener., 2019, 13, (1), pp. 27–32.
-
26)
-
28. Gurrala, G.: ‘Loewner matrix approach for modelling FDNEs of power systems’, Electr. Power Syst. Res., 2015, 125, pp. 116–123.
-
27)
-
14. Liu, H., Xie, X., Liu, W.: ‘An oscillatory stability criterion based on the unified dq-frame impedance network model for power systems with high penetration renewables’, IEEE Trans. Power Syst., 2018, 33, (3), pp. 3472–3485.
-
28)
-
6. Shah, N.N., Joshi, S.R.: ‘Analysis, reduction and robust stabiliser design of sub-synchronous resonance in an IEEE FBM augmented by DFIG-based wind farm’, IET Renew. Power Gener., 2019, 13, (16), pp. 3151–3167.
-
29)
-
21. Ren, W., Larsen, E.: ‘A refined frequency scan approach to sub-synchronous control interaction (SSCI) study of wind farms’, IEEE Trans. Power Syst., 2016, 31, (5), pp. 3904–3912.
-
30)
-
26. Gustavsen, B., Semlyen, A.: ‘Rational approximation of frequency domain responses by vector fitting’, IEEE Trans. Power Deliv., 1999, 14, (3), pp. 1052–1061.
-
31)
-
22. Ziaee, O., Choobineh, F.F.: ‘Optimal location-allocation of TCSC devices on a transmission network’, IEEE Trans. Power Syst., 2017, 32, (1), pp. 94–102.
-
32)
-
32. Fan, L., Kavasseri, R., Miao, Z.L., et al: ‘Modeling of DFIG-based wind farms for SSR analysis’, IEEE Trans. Power Deliv., 2010, 25, (4), pp. 2073–2082.
-
33)
-
25. Ziaee, O., Choobineh, F.: ‘Optimal location-allocation of TCSCs and transmission switch placement under high penetration of wind power’, IEEE Trans. Power Syst., 2017, 32, (4), pp. 3006–3014.
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