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2000
Volume 18, Issue 6
  • ISSN: 2352-0965
  • E-ISSN: 2352-0973

Abstract

Background

At present, clean energy power generation technology is vigorously developing, and wind power generation technology is widely applied. Ensuring that the wind turbine operation is not off-grid has become critical. Currently, most of the studies on fault ride-through problems of doubly fed induction generators (DFIG) are single faults, , low voltage ride through (LVRT) or high voltage ride through (HVRT), mostly ignoring the low and high voltage cascading fault.

Methods

This paper proposes a joint control strategy based on hybrid energy storage (HESS) to cope with the cascading fault ride-through requirement. During the fault period, the DFIG rotor side converter (RSC) works in the reactive power priority mode to provide reactive power support for the power grid. In view of the hysteresis of the traditional PI control of HESS, Model predictive control is used to improve.

Results

During the fault traversal process, the DC voltage of the fan is stable, the output waveform is smooth, and the support capacity is significantly improved.

Conclusion

Simulation results show that the proposed joint control strategy can effectively support grid voltage recovery and maintain stable DC bus voltage, effectively achieving DFIG low and high voltage continuous fault crossing.

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2024-03-01
2025-12-13
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References

  1. AlepuzS. CalleA. Busquets-MongeS. KouroS. WuB. Use of stored energy in PMSG rotor inertia for low-voltage ride-through in back-to-back NPC converter-based wind power systems.IEEE Trans. Ind. Electron.20136051787179610.1109/TIE.2012.2190954
    [Google Scholar]
  2. SteveS. KlausR. Global wind report annual market update2013.Brussels, BelgiumGlobal Wind Energy Council(GWEC)2014
    [Google Scholar]
  3. LeeC.T. HsuC.W. ChengP.T. A low-voltage ride-through technique for grid-connected converters of distributed energy resources.IEEE Trans. Ind. Appl.20114741821183210.1109/TIA.2011.2155016
    [Google Scholar]
  4. WangS. ShangL. Fault ride through strategy of virtual-synchronous-controlled dfig-based wind turbines under symmetrical grid faults.IEEE Trans. Energ. Convers.20203531360137110.1109/TEC.2020.2979885
    [Google Scholar]
  5. XieZ. ZhangX. ZhangX. YangS. WangL. Improved ride-through control of dfig during grid voltage swell.IEEE Trans. Ind. Electron.201562635843594
    [Google Scholar]
  6. YangL. XuZ. OstergaardJ. DongZ.Y. WongK.P. Advanced control strategy of dfig wind turbines for power system fault ride through.IEEE Trans. Power Syst.201227271372210.1109/TPWRS.2011.2174387
    [Google Scholar]
  7. DongZ. LiZ. DuL. LiuY. DingZ. Coordination strategy of large-scale DFIG-based wind farm for voltage support with high converter capacity utilization.IEEE Trans. Sustain. Energy20211221416142510.1109/TSTE.2020.3047273
    [Google Scholar]
  8. ZhouD. BlaabjergF. Optimized demagnetizing control of DFIG power converter for reduced thermal stress during symmetrical grid fault.IEEE Trans. Power Electron.20183312103261034010.1109/TPEL.2018.2803125
    [Google Scholar]
  9. MaJ. ShenY. DFIG active damping control strategy based on remodeling of multiple energy branches.IEEE Trans. Power Electron.20213644169418610.1109/TPEL.2020.3025716
    [Google Scholar]
  10. DavoudiM. SadehJ. DavoudiM. Analysis of DFIG during unsymmetrical grid fault by using crowbar circuit.2019 Iranian Conference on Renewable Energy & Distributed Generation (ICREDG)Tehran, Iran, 2019, pp. 1-6.10.1109/ICREDG47187.2019.194198
    [Google Scholar]
  11. ZouZ-C. YaoJ. Efficient HVRT scheme of DFIG using a SSFCL-chopper considering grid voltage recovery.IEEE Trans. Appl. Supercond20213181310.1109/TASC.2021.3110469
    [Google Scholar]
  12. XieQ. ZhengZ. XiaoX. HuangC. ZhengJ. RenJ. Enhancing HVRT capability of DFIG-based wind farms using cooperative rotor-side SMES considering the blocking fault of LCC-HVDC system.CSEE J. Power Energy Syst.202174698707
    [Google Scholar]
  13. UthraR. SuchitraD. A fuzzy based improved control strategy of dynamic voltage restorer for low voltage and high voltage ride through compensation for variable speed hybrid energy system.Wirel. Pers. Commun.202212732391241510.1007/s11277‑021‑09004‑y
    [Google Scholar]
  14. ZhangT. YaoJ. SunP. PeiJ. ZhangH. LiuK. ZhaoY. Improved continuous fault ride through control strategy of dfig-based wind turbine during commutation failure in the lcc-hvdc transmission system.IEEE Trans. Power Electron.202136145947310.1109/TPEL.2020.3000515
    [Google Scholar]
  15. VazquezS. LukicS.M. GalvanE. FranqueloL.G. CarrascoJ.M. Energy storage systems for transport and grid applications.IEEE Trans. Ind. Electron.201057123881389510.1109/TIE.2010.2076414
    [Google Scholar]
  16. XiaoX-Y. YangR-H. ChenX-Y. ZhengZ-X. Integrated DFIG protection with a modified SMES-FCL under symmetrical and asymmetrical faults.IEEE Trans. Appl. Supercond.20182841610.1109/TASC.2018.2802782
    [Google Scholar]
  17. ChoiM.E. KimS.W. SeoS.W. Energy management optimization in a battery/supercapacitor hybrid energy storage system.IEEE Trans. Smart Grid20123146347210.1109/TSG.2011.2164816
    [Google Scholar]
  18. SnoussiJ. Ben ElghaliS. OutbibR. MimouniM.F. Model predictive control for hybrid battery/ultracapacitor power supply used in vehicular applications.2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA),Monastir, Tunisia, 2015, pp. 193-200.10.1109/STA.2015.7505200
    [Google Scholar]
  19. ZhengZ. RenJ. XiaoX. HuangC. WangY. XieQ. Response mechanism of DFIG to transient voltage disturbance under commutation failure of LCC-HVDC system.IEEE Trans. Power Deliv.20203562972297910.1109/TPWRD.2020.3005720
    [Google Scholar]
  20. BesterJ.E. HajjajiA.E. MabweA.M. Modelling of lithium-ion battery and soc estimation using simple and extended discrete kalman filters for aircraft energy management.IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society,Yokohama, Japan, 2015, pp. 002433-002438.10.1109/IECON.2015.7392467
    [Google Scholar]
  21. ZhuJ. HuJ. HungW. WangC. ZhangX. BuS. LiQ. UrdalH. BoothC.D. Synthetic inertia control strategy for doubly fed induction generator wind turbine generators using lithium-ion supercapacitors.IEEE Trans. Energ. Convers.201833277378310.1109/TEC.2017.2764089
    [Google Scholar]
  22. ChenX. ShiM. ZhouJ. ChenY. ZuoW. WenJ. HeH. Distributed cooperative control of multiple hybrid energy storage systems in a dc microgrid using consensus protocol.IEEE Trans. Ind. Electron.20206731968197910.1109/TIE.2019.2898606
    [Google Scholar]
  23. ZhangX. WangB. GamageD. UkilA. Model predictive and iterative learning control based hybrid control method for hybrid energy storage system.IEEE Trans. Sustain. Energy20211242146215810.1109/TSTE.2021.3083902
    [Google Scholar]
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