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

Authors

  • 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

DOI:

https://doi.org/10.13052/dgaej2156-3306.3541

Keywords:

DFIG, DVR, LVRT, PSO

Abstract

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.

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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 Techni-
cal University, Dehradun. His current research interests include renewable
energy systems, Intelligent control algorithms, power system. He is a Mem-
ber 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. Engi-
neering college Gorakhpur UP and M.Tech. in Electrical engineering power
system from NIT Kurukshetra. He has completed his Ph.D. from UP Tech-
nical 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 for-
eign Universities. He has co-authored books entitled “Renewable Energy
Sources & Emerging Technologies”, PHI. India, “Signals and Systems” pub-
lished 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 Pub-
lishing 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 pro-
gram 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 Tech-
nology and conferred “Sikhsha Rattan” at India Habitat Centre, New Delhi.
Prof. Rakesh Ranjan is currently serving as Vice Chancellor, Himgiri Zee
University, Dehradun.

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Published

2021-04-28

How to Cite

Kumar, A., Mishra, V. M. ., & Ranjan, R. . (2021). LVRT Enhancement in Grid Connected DFIG Based Wind Turbine Using PSO Optimized DVR. Distributed Generation &Amp; Alternative Energy Journal, 35(4), 249–264. https://doi.org/10.13052/dgaej2156-3306.3541

Issue

2020: Vol 35 Iss 4

Section

Articles