An Integrated Reactive Power Control Strategy for Improving Low Voltage Ride-through Capability

doi:10.23919/CJEE.2019.000022

Chinese Journal of Electrical Engineering ›› 2019, Vol. 5 ›› Issue (4): 1-14.doi: 10.23919/CJEE.2019.000022

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An Integrated Reactive Power Control Strategy for Improving Low Voltage Ride-through Capability

Ehsan Gatavi^*, Ali Hellany, Mahmood Nagrial, Jamal Rizk

School of Computing, Engineering, and Mathematics, Western Sydney University, NSW 2751, Australia

Online:2019-12-25 Published:2020-03-12
Contact: * Email: e.gatavi@westernsydney.edu.au
About author:Ehsan Gatavi received the B.E. in electrical and electronic engineering from Islamic Azad University, Iran, in 2007, and M.E. in mechatronics and automatic control engineering from University Technology Malaysia, in 2011. From 2012 to 2014, he was a research assistant with University of Technology Sydney, Australia. He is currently working toward the Ph.D. degree in electrical engineering with Western Sydney University, Australia. His research interests include but not limited to renewable energy, large-scale control system, reactive power compensation, voltage regulation and decentralized control to achieve a highest level of flexibility. He is an active reviewer for IEEE Transaction on Industrial Electronics.
Ali Hellany holds a B.E. in Telecommunication, M.E. (Hons) in Electrical Engineering and a Ph.D. in Electrical Engineering, from Western Sydney University, Australia. He is a member of IEEE, Executive member of IEEE NSW Section and chairing the student activities. He is a member of the Power and Education societies. He is a senior lecturer in Electrical Engineering, Western Sydney University since 2002. Dr. Hellany has published numerous papers in the field of Renewable Energy, Power Quality, AC Interference, and Learning Styles in journals and presented his research in many international conferences. Dr. Hellany is a member of the “Renewable Energy” research group.
Mahmood Nagrial obtained his Ph.D. from University of Leeds, UK. He has extensive experience in Power Electronics and Drive Systems, Renewable Energy Systems. He is Coordinator for Research Group “Power Conversion & Intelligent Motion Control”. He has conducted many short courses and contributed refereed papers to many International conferences. Dr. Nagrial has been a leading researcher in the area of permanent magnet & variable reluctance machines & drive systems. He has supervised Ph.D. and M. Eng. (Hons) Research Theses and postdoctoral fellows in this general area. Dr. Nagrial has also worked as Principal Research Scientist at CSIRO, where he has been responsible for developing new devices using rare-earth magnets.
Jamal Rizk is a member of the Research Group: Power Conversion and Intelligent Motion Control (PCIMC). He has a doctorate from Kharkov Polytechnic, Ukraine and a Ph.D. from University of Western Sydney, Australia. He is a Senior Lecturer in the School of Engineering, Western Sydney University. Since 1997 he has attended and presented results of his research at different Australian and International Conferences. He has developed special expertise in the analysis of magnetic analysis of different types of permanent magnet machines. He has been involved in design, fabrication and testing of electrical drives.

Abstract

Abstract: Among all renewable energies, wind power is rapidly growing, whereby it has the most participation to supply power. Doubly fed induction generator (DFIG) is the most popular wind turbine, as it can play a very significant role to enhance low voltage ride through (LVRT) capability. Ancillary services such as voltage control and reactive power capability are the main topics in wind power control systems that should be handled profoundly and carefully. The lack of reactive power during fault period can result in instability in generators and/or disconnection of the wind turbine from the power system. The main aims of this study are to illustrate the most effective approaches subject to improve the efficiency, stability, and reliability of wind power plant associated with LVRT capability enhancement. This effectiveness and efficiency are demonstrated by, firstly, comparison between all types of wind turbines, focusing on the ancillary services, after the existing advanced control strategies. According to the literature, there is a consensus that modifying converter-based control topology is the most effective approach to enhance LVRT capability in DFIG-based wind turbine (WT). Therefore, an advanced integrated control strategy is designed by considering the effect of the rotor side converter (RSC) and the grid side converter (GSC). A model of the wind power plant is presented based on the control objectives. MATLAB/Simulink is also used to illustrate the effectiveness of the designed algorithm.

Key words: Doubly fed induction generator, low voltage ride-through, series dynamic braking resistor, reactive power

Ehsan Gatavi, Ali Hellany, Mahmood Nagrial, Jamal Rizk. An Integrated Reactive Power Control Strategy for Improving Low Voltage Ride-through Capability[J]. Chinese Journal of Electrical Engineering, 2019, 5(4): 1-14.

References

[1] Global Wind Energy Council. Global wind statistics2012[EB/OL]. 2013-02-11. www.gwec.net.
[2] M Tsili, S Papathanassiou.A review of grid code technical requirements for wind farms.IET Renewable Power Generation, 2009, 3(3): 308-332.
[3] A D Hansen, F Lov, F Blaabjerg, et al.Review of contemporary wind turbine concepts and their market penetration.Wind Engineering, 2004, 28(3): 247-263.
[4] T Ackermann.Wind power in power system. New York: John Wiley&Sons, 2005.
[5] J G Slootweg, H Polinder, W L Kling.Representing wind turbine electrical generating systems in fundamental frequency simulations.IEEE Transactions on Energy Conversion, 2003, 18(4): 516-524.
[6] Y Chi, Y Liu, W Wang, et al.Voltage stability analysis of wind farm integration into transmission network.In International Conference on Power System Technology, 2006: 22-26.
[7] J Liang, W Qiao, R G Harley.Feed-forward transient current control for LVRT enhancement of DFIG WT.IEEE Transactions on Energy Conversion, 2010, 25(3): 836-843.
[8] L Xu.Coordinated control of DFIGs rotor and grid side converters during network unbalance.IEEE Transactions on Power Electronics, 2008, 23(3): 1041-1049.
[9] O G Bellmunt, A J Ferre, A Sumper, et al.Ride through control of DFIG under unbalanced voltage sags.IEEE Transactions on Energy Conversion, 2008, 23(4): 1036-1046.
[10] P J Maria, M F P Garcia, A Tobias, et al. Wind turbines reliability analysis.Renewable and Sustainable Energy Reviews, 2013(23): 463-472.
[11] L Yang, Z Xu, J Ostergaard, et al.Advanced control strategy of DFIG WTs for power system fault ride through.IEEE Transactions on Power System, 2012, 27(2): 713-722.
[12] M Mohseni, S Islam, M A S Masoum. Fault ride through capability enhancement of doubly fed induction wind generators.IET Renewable Power Generation, 2011, 5(5): 368-376.
[13] D Xie, Z Xu, L Yang, et al.A comprehensive LVRT control strategy for DFIG wind turbines with enhanced reactive power support.IEEE Transactions on power System, 2013, 28(3): 3302-3310.
[14] J Yao, H Li, Z Chen.An improved control strategy of limiting the DC-Link voltage fluctuation for a DFIG.IEEE Transactions on Power Systems, 2008, 23(3): 1205-1213.
[15] S Hu, X Lin, Y Kang, et al.An improved LVRT control strategy of DFIG during grid faults.IEEE Transactions on Power Electronics, 2011, 26(12): 3653-3665.
[16] L Yu, G Chen, D Cao, et al.LVRT control of DFIG during symmetric voltage sag.Electric Machine and Control, 2010, 14(7): 1-6.
[17] H Kasem, E F El-Saadany, H H El-Tamaly, et al. An improved fault ride through strategy for DFIG based WTs.IET Renewable Power Generation, 2008, 2(4): 201-214.
[18] D Xiang, L Ran, P J Tavner, et al.Control of a DFIG in a wind turbine during grid fault ride through.IEEE Transactions on Energy Conversion, 2006, 21(3): 652-662.
[19] J Lopez, E Gubia, E Olea, et al.Ride through of WTs with DFIG under symmetrical voltage dips.IEEE Transactions on Industrial Electronics, 2009, 56(10): 4246-4254.
[20] S Saman, J Niiranen, A Arkkio.Ride through analysis of DFIG wind power generator under unsymmetrical network disturbance.IEEE Transactions on Power System, 2006, 21(4): 1782-1789.
[21] T Thiringer, A Petersson, T Petru.Grid disturbance response of wind turbines equipped with induction generator and doubly fed induction generator.In Proc. IEEE Power Engineering Society General Meeting, 2003(3): 1542-1547.
[22] J B Ekanayake, L Holdsworth, X G Wu, et al.Dynamic modeling of doubly fed induction generator wind turbines.IEEE Transactions on Power Electronics, 2003, 18(2): 803-809.
[23] A Peterson, T Thiringer, L Harnefors, et al.Modelling and experimental varication of grid interaction of a DFIG wind turbine.IEEE Transactions on Power System, 2005, 4(20): 878-886.
[24] J B Ekanayake, L Holdsworth, N Jenkins.Comparison of 5th order and 3rd order machine models for doubly fed induction generator wind turbines.Electric Power Systems Research, 2003, 67(3): 207-215.
[25] A Molina-Garca, A Honrubia-Escribano, T Garca-Snchez, et al.Power quality surveys of photovoltaic power plants: Characterisation and analysis of grid code requirements.IET Renewable Power Generation, 2015, 9(5): 466-473.
[26] S M Muyeen, R Takahashi, T Murata, et al.A variable speed wind turbine control strategy to meet wind farm grid code requirement.IEEE Transactions on Power Systems, 2010, 25(1): 331-340.
[27] I Erlich, U Bachmann.Grid code requirements concerning connection and operation of wind turbines in Germany.IEEE Power Engineering Society General Meeting, 2005: 153-157.
[28] M Mohseni, S M Islam.Review of international grid codes for wind power integration: Diversity, technology and a case for global standard.Renewable and Sustainable Energy Reviews, 2012, 16(6): 3876-3890.
[29] Australian Energy Market Operator,AEMO. Wind integration: International experience, WP2: Review of grid codes, A. E. M commission, AU, 2011.
[30] H T Mokui, M A S Masoum, M Mohseni. Review on grid codes for wind power integration in comparison with international standards.Australian Universities Conference, 2014: 1-6.
[31] W Qiao, R G Harley, G K Venayagamoorthy.Coordinated reactive power control of a large wind farm and a STATCOM using heuristic dynamic programming.IEEE Transactions on Energy Conversion, 2009, 24(2): 493-503.
[32] Y Guo, D J Hill, Y Wang.Global transient stability and voltage regulation for power systems.IEEE Transactions on Power Systems, 2001, 16(4): 678-688.
[33] M Rahimi, M Parniani.Coordinated control approaches for low voltage ride-through enhancement in wind turbines with doubly fed induction generators.IEEE Transactions on Energy Conversion, 2010, 25(3): 873-883.
[34] M Rahimi, M Parniani.Efficient control scheme of wind turbines with doubly fed induction generators for low voltage ride-through capability enhancement.IET Renewable Power Generation, 2010, 4(3): 242-252.
[35] H M Yassin, H H Hanafy, M H Hallouda.Enhancement low-voltage ride through capability of permanent magnet synchronous generator-based wind turbines using interval type-2 fuzzy control.IET Renewable Power Generation, 2016, 10(3): 339-348.
[36] M F M Arani, Y A I Mohamed. Analysis and enhancement of the artificial bus method for successful low-voltage ride-through and resynchronization.IEEE Transactions on Power Systems, 2019, 34(3): 1729-1739.
[37] M H Ali, S D Alnajjar.Fault ride through capability enhancement of grid-connected fuel cell system by SDBR.IEEE Power and Energy Society General Meeting, 2018: 1-5.
[38] E Gatavi, A Hellany, M Nagrial, et al.Low voltage ride-through enhancement in DFIG-based wind turbine.IEEE International Power and Energy Conference, 2016: 1-6.
[39] S Zhang, K J Tseng, S S Choi, et al.Advanced control of series voltage compensation to enhance wind turbine ride-through.IEEE Transactions on Power Electronics, 2012, 27(2): 763-772.
[40] G Abad, M N Rodriguez, J Poza.Three-level NPC converter-based predictive direct power control of the doubly fed induction machine at low constant switching frequency.IEEE Transactions on Industrial Electronics, 2008, 55(12): 4417-4429.
[41] M J Hossain, H Pota, C Kumble.Decentralized robust static synchronous compensator control for wind farms to augment dynamic transfer capability.Journal of Renewable and Sustainable Energy, 2010, 2(2): 1-20.
[42] T H Nguyen, C D Lee.Advanced fault ride-through technique for PMSG wind turbine systems using line-side converter as STATCOM.IEEE Transactions on Industrial Electronics, 2013, 60(7): 2842-2850.
[43] A Kanchanaharuthai, V Chankong, K A Loparo.Transient stability and voltage regulation in multi-machine power systems vis-vis STATCOM and battery energy storage.IEEE Transactions on Power Systems, 2015, 30(5): 2404-2416.
[44] P E Srensen, A D Hansen, F Lov, et al.Wind farm models and control strategies. Report: Wind Energy Department, Riso National Laboratory Information Service Department, P.O. Box 49 DK-4000, 2005.
[45] J L Rodriguez, J L Arnalte, J C Burgos.Automatic generation control of a wind farm with variable speed wind turbines.IEEE Transactions on Energy Conversion, 2002, 17(2): 279-284.
[46] F Mwasilu, J Justo, K S Ro, et al.Improvement of dynamic performance of doubly fed induction generator-based wind turbine power system under an unbalanced grid voltage condition.IET renewable Power Generation, 2012, 6(6): 424-434.
[47] J Morren, S W De Haan. Short-circuit current of wind turbines with doubly fed induction generator.IEEE Transactions on Energy Conversion, 2007, 22(1): 174-180.
[48] J Lopez, E Gubia, E Olea, et al.Ride-through of wind turbine with doubly fed induction generator under symmetrical voltage dips.IEEE Transactions on Industrial Electronics, 2009, 56(10): 4246-4254.
[49] F K Lima, A Luna, P Rodriguez, et al.Rotor voltage dynamics in the doubly fed induction generator during grid faults.IEEE Transactions on Power Electronics, 2010, 25(1): 118-130.
[50] J M Maciejowski.Predictive control with constraints.Prentice Hall Technology and Engineering, 2012.
[51] G Pannell, D J Atkinson, B Zahawi.Minimum threshold crowbar for a fault ride-through grid code compliant DFIG wind turbine.IEEE Transactions on Energy Conversion, 2010, 25(3): 750-759.
[52] S Xiao, G Yang, H Zhou, et al.An LVRT control strategy based on flux linkage tracking for DFIG-based WECS.IEEE Transactions on Industrial Electronics, 2013, 60(7): 2820-2832.
[53] O Noureldeen.Behaviour of DFIG wind turbines with crowbar protection under short circuit.International Journal of Electrical and Computer Sciences, 2012, 12(3): 32-37.
[54] C Wessels, F Gebhardt, F W Fuchs.Fault ride-through of a DFIG wind turbine using a dynamic voltage restorer during symmetrical and asymmetrical grid faults.IEEE Transactions on Power Electronics, 2011, 26(3): 807-815.
[55] A O Ibrahim, T H Nguyen, D C Lee, et al.A fault ride-through technique of DFIG wind turbine systems using dynamic voltage restorers.IEEE Transactions on Energy Conversion, 2011, 26(3): 871-882.
[56] E Gatavi, A Hellany, M Nagrial, et al.Advanced reactive power control strategy for better LVRT capability for DFIG-based wind farm.IEEE International conference on Industrial and Commercial Power Systems Europe, 2019: 1-6.
[57] M Kvasnica, P Grieder, M Baotic, et al.Multi-parametric oolbox (MPT). Technical Report, http://control.ee.ethz.ch/mpt/, 2006.

An Integrated Reactive Power Control Strategy for Improving Low Voltage Ride-through Capability

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