LVRT Enhancement in Grid Connected DFIG Based Wind Turbine Using PSO Optimized DVR

  • Ashwani Kumar Research Scholar, Electrical Engineering, Uttrakhand Technical University, Dehradun-248007, India
  • Vishnu Mohan Mishra EED, GBPEC, Pauri Garhwal-246194, India
  • Rakesh Ranjan Vice Chancellor, Himgiri Zee University, Dehradun-248197, India
Keywords: DFIG, DVR, LVRT, PSO


This paper suggest a control strategy to enhance the LVRT capability of doubly fed induction generator (DFIG) based wind turbine system using dynamic voltage restorer (DVR). Wind turbine generator should support the grid during the fault time. The method used here is series compensation method at the point of common coupling on the occurrence of fault to maintain the stator voltage constant. LVRT performance is improved by optimization of PI parameters using particle swarm optimization as compare to conventional DVR. This PI controller is used to regulate the IGBT pulses of the inverter fed by DC source. To validate the improved LVRT performance, a 9 MW grid integrated DFIG based wind plant is considered. The result shows that the voltage compensation of sag is greatly improved with PSO optimized DVR.


Download data is not yet available.

Author Biographies

Ashwani Kumar, Research Scholar, Electrical Engineering, Uttrakhand Technical University, Dehradun-248007, India

Ashwani Kumar received the B.E. degree in Electrical Engg. and M.E. degree in Electrical Engineering from the M.D. University Rohtak, Haryana, India, in 2003 & 2008, respectively. Since 2008, he has been an Assistant Professor at the Department of Electrical Engineering, Hindu College Of Engg. Sonepat (Haryana). He is currently pursuing Ph.D. degree as research scholar at the Department of Electrical Engineering, Uttrakhand Technical University, Dehradun. His current research interests include renewable energy systems, Intelligent control algorithms, power system. He is a Member of Institution of Engineers Calcutta (M.I.E) & Member of Indian Society of Technical Education (M.I.S.T.E.).

Vishnu Mohan Mishra, EED, GBPEC, Pauri Garhwal-246194, India

Vishnu Mohan Mishra received B.E. Electrical Engg. from M.M.M. Engineering college Gorakhpur UP and M.Tech. in Electrical engineering power system from NIT Kurukshetra. He has completed his Ph.D. from UP Technical University. He has published many papers in international journals. His current research interest includes Electrical Machines, Power Electronics, Elements of Power system, Power Quality, Electric Derives, Power System Analysis.

Rakesh Ranjan, Vice Chancellor, Himgiri Zee University, Dehradun-248197, India

Rakesh Ranjan obtained B.E., M.E., and Ph.D. from BITS Pilani. He has more than 26 years of teaching and research experience at Indian and foreign Universities. He has co-authored books entitled “Renewable Energy Sources & Emerging Technologies”, PHI. India, “Signals and Systems” published by McGraw-HILL, Singapore/Tata McGraw-Hill, New Delhi, India, “Random Process and Queuing Theory” and “Circuits and Signals” published by Pearson, Prentice Hall, Malaysia, SCHAUM’S OUTLINES on Signals and Systems published by Tata McGraw-Hill, New Delhi. His latest book “Environmental Science and Engineering” was published by Narosa Publishing House in the year 2017 He has contributed 45 research papers in international journals and 58 papers at international conference. He is actively involved in research at international forum and served as International program committee and technical committee member for various international Conferences and Journals. He has guided seven Ph.D. students and has completed many sponsored projects. Dr. Rakesh Ranjan has the distinction of being listed in Marquee’s “Who’s Who in the World” for Science and Technology and conferred “Sikhsha Rattan” at India Habitat Centre, New Delhi. Prof. Rakesh Ranjan is currently serving as Vice Chancellor, Himgiri Zee University, Dehradun.


. Rahim AHMA, Nowicki EP. Supercapacitor energy storage system for fault ride-through of a DFIG wind generation system. Energy Convers Manag. 2012;59:96-102. doi:10.1016/j.enconman.2012.03.003.

Li, X., Hui, D. and Lai, X. (2013) ‘Battery energy storage station (BESS)-based smoothing control of photovoltaic (PV) and wind power generation fluctuations’, IEEE Transactions on Sustainable Energy, 4(2), pp. 464–473. doi: 10.1109/TSTE.2013.2247428.

Obando-Montaño, A. F. et al. (2014) ‘A STATCOM with supercapacitors for low-voltage ride-through in fixed-speed wind turbines’, Energies, 7(9), pp. 5922–5952. doi: 10.3390/en7095922.

Shi, J. et al. (2015) ‘Fuzzy logic control of DSTATCOM for improving power quality and dynamic performance’, 2015 Australasian Universities Power Engineering Conference: Challenges for Future Grids, AUPEC 2015, pp. 2–7. doi: 10.1109/AUPEC.2015.7324796.

Justo, J. J., Mwasilu, F. and Jung, J. W. (2015) ‘Doubly-fed induction generator based wind turbines: A comprehensive review of fault ride-through strategies’, Renewable and Sustainable Energy Reviews, 45, pp. 447–467. doi: 10.1016/j.rser.2015.01.064.

Justo, J. J., Mwasilu, F. and Jung, J. W. (2015) ‘Doubly-fed induction generator based wind turbines: A comprehensive review of fault ride-through strategies’, Renewable and Sustainable Energy Reviews, 45, pp. 447–467. doi: 10.1016/j.rser.2015.01.064.

Chong, L. W. et al. (2016) ‘An optimal control strategy for standalone PV system with Battery-Supercapacitor Hybrid Energy Storage System’, Journal of Power Sources. Elsevier B.V, 331, pp. 553–565. doi: 10.1016/j.jpowsour.2016.09.061.

Heydari-Doostabad, H., Khalghani, M. R. and Khooban, M. H. (2016) ‘A novel control system design to improve LVRT capability of fixed speed wind turbines using STATCOM in presence of voltage fault’, International Journal of Electrical Power and Energy Systems. Elsevier Ltd, 77, pp. 280–286. doi: 10.1016/j.ijepes.2015.11.011.

Yang, L. et al. (2016) ‘Coordinated-Control Strategy of Photovoltaic Converters and Static Synchronous Compensators for Power System Fault Ride-Through’, Electric Power Components and Systems, 44(15), pp. 1683–1692. doi: 10.1080/15325008.2016.1194502.

Bhangale, S. S. and Patel, N. (2018) ‘Design of LVRT capability for grid connected PV system’, 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2017, 2018-Janua, pp. 1625–1630. doi: 10.1109/ICICICT1.2017.8342814.

Hossain, M. E. (2018) ‘Improvement of transient stability of DFIG based wind generator by using of resistive solid state fault current limiter’, Ain Shams Engineering Journal. Ain Shams University, 9(4), pp. 2557–2570. doi: 10.1016/j.asej.2017.03.014.

Manikanta, B. V. V. N., Kesavarao, G. and Talati, S. (2017) ‘LVRT of Grid Connected PV System with Energy Storage’, International Science Press, 10(5), pp. 75–86.

Benali, A. et al. (2018) ‘Power Quality Improvement and Low Voltage Ride Through Capability in Hybrid Wind-PV Farms Grid-Connected Using Dynamic Voltage Restorer’, IEEE Access, 6, pp. 68634–68648. doi: 10.1109/ACCESS.2018.2878493.

Praveen Kumar, T., Subrahmanyam, N. and Sydulu, M. (2019) ‘Power Flow Management of the Grid-Connected Hybrid Renewable Energy System: A PLSANN Control Approach’, IETE Journal of Research. Taylor & Francis, 0(0), pp. 1–16. doi: 10.1080/03772063.2019.1565950.

Rezaie, H. and Kazemi-Rahbar, M. H. (2019) ‘Enhancing voltage stability and LVRT capability of a wind-integrated power system using a fuzzy-based SVC’, Engineering Science and Technology, an International Journal. Karabuk University, 22(3), pp. 827–839. doi: 10.1016/j.jestch.2018.12.018.