Enhancement of Low Voltage Ride Through Capability of Doubly Fed Induction Generator Based Wind Turbine Using Fuzzy Logic Controller

G Manohar; S Venkateshwarlu; A Jaya Laxmi

doi:10.1051/e3sconf/202130901047

All issues

Volume 309 (2021)

E3S Web Conf., 309 (2021) 01047

References

Open Access

Issue		E3S Web Conf. Volume 309, 2021 3^rd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2021)


Article Number		01047
Number of page(s)		7
DOI		https://doi.org/10.1051/e3sconf/202130901047
Published online		07 October 2021

Chowdhury, B.H. and Chellapilla, S., 2006. Double-fed induction generator control for variable speed wind power generation. Electric power systemsresearch, 76(9-10), pp.786–800. [Google Scholar]
Jadhav, H.T. and Roy, R., 2013. A comprehensive review on the grid integration of doubly fed induction generator. International Journal of Electrical Power & Energy Systems, 49, pp.8–18. [Google Scholar]
Béchir, B., Faouzi, B. and Gasmi, M., 2012. Wind energy conversion system with full-scale power converter and squirrel cage induction generator. International Journal of Physical Sciences, 7(46), pp. 6093–6104. [Google Scholar]
Manohar, G. and Venkateshwarlu, S., 2016. Analysis of Grid connected Doubly Fed Induction Generator based Wind Turbine. CVR Journal of Science and Technology, 10, pp. 59–64. [Google Scholar]
J. Niiranen “Voltage Dip Ride Through of a doublyfed system” World Wide Energy Conference, 2004. [Google Scholar]
T. Thiringer, A. Petersson, T. Petru, “Grid disturbance response of wind turbines equipped withinduction generator and doubly-fed induction generator”, Power engineering society annual meeting, Toronto, Canada july, 2003 [Google Scholar]
S. Seman, J. Niiranen, S. Kanerva, A. Arkkio,“Analysis of a 1.7 MVA Doubly Fed Wind-PowerInduction Generator during Power Systems Disturbances”, Nordic Workshop on Power and Industrial Electronics, Trondheim, 2004 [Google Scholar]
Petersson, S. Lundberg, T. Thiringer “A DFIG wind-turbine ride through system influence on energy production”, Nordic Wind Power Conference, march 1-2, 2004 [Google Scholar]
J. Niiranen, “Voltage ride through of a doubly-fedgenerator equipped with an active crowbar”, NordicWind Power Conference, March 1-2, 2004. [Google Scholar]
A.H.M.A. Rahim and E.P. Nowicki, “Supercapacitor energy storage system for fault ride-through of a DFIG wind generation system,” Energy Conversion and Management, vol. 59, pp. 96–102, July 2012. [Google Scholar]
M.J. Hossain, H.R. Pota, V.A. Ugrinovskii and R.A. Ramos, “Improved low-voltage-ride-through capability of fixed speed wind turbines using decentralised control of STATCOM with energy storage system,” IET Generation, Transmission & Distribution, vol. 6, n°8, pp. 719–730, 2012. [Google Scholar]
C. Abbey and G. Joos, “Supercapacitor energystorage for wind energy applications,” IEEE Trans. Industry Applications, vol. 43, n°3, pp. 769–776, May-June 2007. [Google Scholar]
P.S. Flannery and G. Venkataramanan, “A faulttolerant doubly fed induction generator windturbine using a parallel grid side rectifier and series grid side converter,” IEEE Trans. Power Electronics, vol. 23, n°3, pp. 1126–1135, May 2008. [Google Scholar]
Gray, C.; Buque, C.; Chowdhury, S. AC series dynamic resistor protection scheme with switchingcontrol for doubly fed induction generator based WECS. In Proceedings of the 2016 IEEE Power and Energy Society General Meeting (PESGM), Boston, MA, USA, 17–21 July 2016; pp. 1–5. [Google Scholar]
Acha, E. Power Electronic Control in Electrical Systems; Newnes Power Engineering Series: Oxford, UK, 2002. [Google Scholar]
Kanchanaharuthai, A.; Chankong, V.; Loparo, K.A. Transient Stability and Voltage Regulation in Multimachine Power Systems Vis-à-Vis STATCOM and Battery Energy Storage. IEEE Trans. Power Syst. 2015, 30, 2404–2416. [Google Scholar]
Li, N.; Wang, L.; Yang, H.; Ma, H. Stability Analysis for SSR of DFIG-Based Wind Farm Considering STATCOM Capacity Constraint. In Proceedings of the 2019 22nd International Conference on Electrical Machines and Systems (ICEMS), Harbin, China, 11–14 August 2019; pp. 1–6. [Google Scholar]
Molinas, M.; Suul, J.A.; Undeland, T. Low VoltageRide Through of Wind Farms With CageGenerators: STATCOM Versus SVC. IEEE Trans. Power Electron. 2008, 23, 1104–111. [Google Scholar]
Tang, Y.; He, H.; Ni, Z.;Wen, J.; Huang, T. Adaptive Modulation for DFIG and STATCOMWith High-Voltage Direct Current Transmission. IEEE Trans. Neural Netw. Learn. Syst. 2016, 27, 1762–1772. [CrossRef] [PubMed] [Google Scholar]
Alam, M.S.; Hossain, M.I.; Hossain, M.A.; Choudhory, M.S.H.; Uddin, M.A. Protection of Inverter-based Distributed Generation with Series Dynamic Braking Resistor: A Variable DutyControl Approach. In Proceedings of the 2018 10th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 20–22 December 2018; pp. 253–256. [Google Scholar]
Saad, N.H., Sattar, A.A. and Mansour, A.E.A.M., 2015. Low voltage ride through of doubly-fed induction generator connected to the grid using sliding mode control strategy. Renewable Energy, 80, pp.583–594. [Google Scholar]
Benbouzid, M., Beltran, B., Amirat, Y., Yao, G., Han, J. and Mangel, H., 2013, November. High-order sliding mode control for DFIG-based wind turbine fault ride-through. In IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society (pp. 7670–7674). IEEE. [Google Scholar]
Vieira, J.P.A., Nunes, M.V.A., Bezerra, U.H. and Do Nascimento, A.C., 2009. Designing optimal controllers for doubly fed induction generators usinga genetic algorithm. IET Generation, Transmission & Distribution, 3(5), pp. 472–484. [Google Scholar]
Sekhar, V. and Ravi, K., 2019. Low-voltage ride-through capability enhancement of wind energy conversion system using an ant-lion recurrent neural network controller. Measurement and Control, 52(7-8), pp.1048–1062. [Google Scholar]
Manohar, G., Venkateshwarlu, S. and Laxmi, A.J., 2020. A DFIG-based wind energy conversion system (WECS) for LVRT enhancement using a hybrid approach: an efficient MEHRFA technique. Soft Computing, pp.1–16. [Google Scholar]
Mokryani, G., Siano, P., Piccolo, A. and Calderaro, V., 2012. A fuzzy logic controller to increase faultride-through capability of variable speed wind turbines. Applied Computational Intelligence and Soft Computing, 2012. [Google Scholar]

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[1] Chowdhury, B.H. and Chellapilla, S., 2006. Double-fed induction generator control for variable speed wind power generation. Electric power systemsresearch, 76(9-10), pp.786–800. [Google Scholar]

[2] Jadhav, H.T. and Roy, R., 2013. A comprehensive review on the grid integration of doubly fed induction generator. International Journal of Electrical Power & Energy Systems, 49, pp.8–18. [Google Scholar]

[3] Béchir, B., Faouzi, B. and Gasmi, M., 2012. Wind energy conversion system with full-scale power converter and squirrel cage induction generator. International Journal of Physical Sciences, 7(46), pp. 6093–6104. [Google Scholar]

[4] Manohar, G. and Venkateshwarlu, S., 2016. Analysis of Grid connected Doubly Fed Induction Generator based Wind Turbine. CVR Journal of Science and Technology, 10, pp. 59–64. [Google Scholar]

[5] J. Niiranen “Voltage Dip Ride Through of a doublyfed system” World Wide Energy Conference, 2004. [Google Scholar]

[6] T. Thiringer, A. Petersson, T. Petru, “Grid disturbance response of wind turbines equipped withinduction generator and doubly-fed induction generator”, Power engineering society annual meeting, Toronto, Canada july, 2003 [Google Scholar]

[7] S. Seman, J. Niiranen, S. Kanerva, A. Arkkio,“Analysis of a 1.7 MVA Doubly Fed Wind-PowerInduction Generator during Power Systems Disturbances”, Nordic Workshop on Power and Industrial Electronics, Trondheim, 2004 [Google Scholar]

[8] Petersson, S. Lundberg, T. Thiringer “A DFIG wind-turbine ride through system influence on energy production”, Nordic Wind Power Conference, march 1-2, 2004 [Google Scholar]

[9] J. Niiranen, “Voltage ride through of a doubly-fedgenerator equipped with an active crowbar”, NordicWind Power Conference, March 1-2, 2004. [Google Scholar]

[10] A.H.M.A. Rahim and E.P. Nowicki, “Supercapacitor energy storage system for fault ride-through of a DFIG wind generation system,” Energy Conversion and Management, vol. 59, pp. 96–102, July 2012. [Google Scholar]

[11] M.J. Hossain, H.R. Pota, V.A. Ugrinovskii and R.A. Ramos, “Improved low-voltage-ride-through capability of fixed speed wind turbines using decentralised control of STATCOM with energy storage system,” IET Generation, Transmission & Distribution, vol. 6, n°8, pp. 719–730, 2012. [Google Scholar]

[12] C. Abbey and G. Joos, “Supercapacitor energystorage for wind energy applications,” IEEE Trans. Industry Applications, vol. 43, n°3, pp. 769–776, May-June 2007. [Google Scholar]

[13] P.S. Flannery and G. Venkataramanan, “A faulttolerant doubly fed induction generator windturbine using a parallel grid side rectifier and series grid side converter,” IEEE Trans. Power Electronics, vol. 23, n°3, pp. 1126–1135, May 2008. [Google Scholar]

[14] Gray, C.; Buque, C.; Chowdhury, S. AC series dynamic resistor protection scheme with switchingcontrol for doubly fed induction generator based WECS. In Proceedings of the 2016 IEEE Power and Energy Society General Meeting (PESGM), Boston, MA, USA, 17–21 July 2016; pp. 1–5. [Google Scholar]

[15] Acha, E. Power Electronic Control in Electrical Systems; Newnes Power Engineering Series: Oxford, UK, 2002. [Google Scholar]

[16] Kanchanaharuthai, A.; Chankong, V.; Loparo, K.A. Transient Stability and Voltage Regulation in Multimachine Power Systems Vis-à-Vis STATCOM and Battery Energy Storage. IEEE Trans. Power Syst. 2015, 30, 2404–2416. [Google Scholar]

[17] Li, N.; Wang, L.; Yang, H.; Ma, H. Stability Analysis for SSR of DFIG-Based Wind Farm Considering STATCOM Capacity Constraint. In Proceedings of the 2019 22nd International Conference on Electrical Machines and Systems (ICEMS), Harbin, China, 11–14 August 2019; pp. 1–6. [Google Scholar]

[18] Molinas, M.; Suul, J.A.; Undeland, T. Low VoltageRide Through of Wind Farms With CageGenerators: STATCOM Versus SVC. IEEE Trans. Power Electron. 2008, 23, 1104–111. [Google Scholar]

[19] Tang, Y.; He, H.; Ni, Z.;Wen, J.; Huang, T. Adaptive Modulation for DFIG and STATCOMWith High-Voltage Direct Current Transmission. IEEE Trans. Neural Netw. Learn. Syst. 2016, 27, 1762–1772. [CrossRef] [PubMed] [Google Scholar]

[20] Alam, M.S.; Hossain, M.I.; Hossain, M.A.; Choudhory, M.S.H.; Uddin, M.A. Protection of Inverter-based Distributed Generation with Series Dynamic Braking Resistor: A Variable DutyControl Approach. In Proceedings of the 2018 10th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 20–22 December 2018; pp. 253–256. [Google Scholar]

[21] Saad, N.H., Sattar, A.A. and Mansour, A.E.A.M., 2015. Low voltage ride through of doubly-fed induction generator connected to the grid using sliding mode control strategy. Renewable Energy, 80, pp.583–594. [Google Scholar]

[22] Benbouzid, M., Beltran, B., Amirat, Y., Yao, G., Han, J. and Mangel, H., 2013, November. High-order sliding mode control for DFIG-based wind turbine fault ride-through. In IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society (pp. 7670–7674). IEEE. [Google Scholar]

[23] Vieira, J.P.A., Nunes, M.V.A., Bezerra, U.H. and Do Nascimento, A.C., 2009. Designing optimal controllers for doubly fed induction generators usinga genetic algorithm. IET Generation, Transmission & Distribution, 3(5), pp. 472–484. [Google Scholar]

[24] Sekhar, V. and Ravi, K., 2019. Low-voltage ride-through capability enhancement of wind energy conversion system using an ant-lion recurrent neural network controller. Measurement and Control, 52(7-8), pp.1048–1062. [Google Scholar]

[25] Manohar, G., Venkateshwarlu, S. and Laxmi, A.J., 2020. A DFIG-based wind energy conversion system (WECS) for LVRT enhancement using a hybrid approach: an efficient MEHRFA technique. Soft Computing, pp.1–16. [Google Scholar]

[26] Mokryani, G., Siano, P., Piccolo, A. and Calderaro, V., 2012. A fuzzy logic controller to increase faultride-through capability of variable speed wind turbines. Applied Computational Intelligence and Soft Computing, 2012. [Google Scholar]