Enhancement of Voltage Profile by the Performance of PMSG-Based Wind Power Generator by Using the Fuzzy logic Controller

Authors

  • V. Priyanka  Student, Gouthami Institute of technology & Management for women, Proddatur, Andhra Pradesh, India
  • K. V. Ramana Reddy  Assistant Professor, Gouthami Institute of technology & Management for women, Proddatur, Andhra Pradesh, India

Keywords:

PMSG, LVRT, dc-link voltage, GSC

Abstract

In this work full-scale permanent-magnet synchronous generator (PMSG)-based wind turbine with dc-link voltage control via the machine-side converter has the potential to provide inherent low-voltage ride-through (LVRT) execution without any extra hardware components. However, several important performance aspects related to this analogy are not addressed in this literature. LVRT control impacts chance of resonance, stability operation, and fatigue in the PMSG-based full-scale system generation of wind power. The logical model, considered the double-mass nature of the turbine/generator and typical LVRT essentials, is developed, validated, and used to characterize wind generation system dynamic performance using generator practical characteristics and LVRT control. To make better operation and reduce the fatigue under LVRT control, two solutions, found as active damping control and dc-link voltage bandwidth retuning, are proposed, compared, and analyzed. The elaborated nonlinear results of time-domain simulation declare the exactness of developed model and with analytical results. By using the fuzzy controllers improves voltage profile with its characteristics.

References

  1.  (2014). Global wind energy outlook.[Online]. Available:www.gwec.net
  2. 20%Wind Energy by 2030, increasing wind energy’s contribution to U.S.Electricity Supply. Washington, DC, USA, Jul. 2008, U.S. Department ofEnergy.
  3. "Wind by numbers: Economic benefits of wind energy," Canadian WindEnergy Association [Online]. Available:http://www.canwea.ca
  4. S.DeRijcke, P. Tielens, B. Rawn,D.VanHertem, and J. Driesen, "Trading energy yield for frequency regulation: Optimal control of kinetic energyin wind farms," IEEE Trans. Power Syst., vol. 30, no. 5, pp. 2469-2478,Sep. 2015.
  5. M. F. M. Arani and Y. A. I. Mohamed, "Analysis and impacts of implementingdroop control in DFIGs on micro grid/weak-grid stability," IEEETrans. Power Syst., vol. 30, no. 1, pp. 385-396, Jan. 2015.
  6. M. F. M. Araniet al., "Implementing virtual inertia in DFIG-based windpower generation," IEEE Trans. Power Syst., vol. 28, no. 2, pp. 1373-1384,May 2013.
  7. (Apr. 2006). E. ON Netz GmbH, Grid Code: High and Extra High Voltage,Germany.[Online]. Available: http://www.eon-netz.com
  8. S.M.Muyeen, R. Takahashi, T.Murata, and J. Tamura, "A variable speedwind turbine control strategy to meet wind farm grid code requirements,"IEEE Trans. Power Syst., vol. 25, no. 1, pp. 331-340, Feb. 2010.
  9. R. Cardenas, R. Pena, S. Alepuz, and G. Asher, "Overview of controlsystems for the operation of DFIGs in wind energy applications," IEEETrans. Ind. Electron., vol. 60, no. 7, pp. 2776-2798, Jul. 2013.
  10. L. Zhou, J. Liu, and S. Zhou, "Improved demagnetization control of adoubly-fed induction generator under balanced grid fault," IEEE Trans.Power Electron., vol. 30, no. 12, pp. 6695-6705, Dec. 2015S

International Journal of Scientific Research in Science and Technology

Downloads

Published

2018-10-30

Issue

Volume 4, Issue 10, September-October-2018

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
V. Priyanka, K. V. Ramana Reddy, " Enhancement of Voltage Profile by the Performance of PMSG-Based Wind Power Generator by Using the Fuzzy logic Controller, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 10, pp.402-408, September-October-2018.