TRANSIENT ANALYSIS OF GRID INTEGRATED STATOR VOLTAGE ORIENTED CONTROLLED TYPE-III DFIG DRIVEN WIND TURBINE ENERGY SYSTEM

Authors:

Bibhu Prasad Ganthia,Subrat Kumar Barik,Byamakesh Nayak3,

DOI NO:

https://doi.org/10.26782/jmcms.2020.06.00012

Keywords:

Type- III WT,DFIG,WECS,SVOC,wind turbine,Auto Regressive Moving Average,decoupled control,

Abstract

In this paper the wind energy operations in addition to its all vital issues during transients are presented. A Type III or class C type wind turbine system with induction generator is implemented which is fed from both the side of rotor and grid. As the T-III-WT-DFIG wind turbine system is effective over normal speed variation among all sustainable power sources; with variable-pitch control for variable speed it is main criteria for the motive of the research. The major issue in wind energy system design is variable speed in the power generation sectors; so this research can play an important role to define the transient analysis and fault clearances. The system is integrated with 1.5MW grid system for the analysis. Using the MATLAB Simulink, the type-III WT DFIG with variable speed wind turbine integrated with the grid system is simulated and the control action is performed by conventional PI controller in the generator and turbine coupling. In this research paper three cases such as voltage dip or sag, 3 phase fault analysis and wind speed variation are executed and the stability of the power system are discussed.

Refference:

I. AbdulhamedHwas, Reza Katebi, Wind Turbine Control Using PI Pitch Angle Controller, IFAC Proceedings Volumes, Volume 45, Issue 3, 2012, Pages 241-246, ISSN 1474-6670, ISBN 9783902823182, https://doi.org/10.3182/20120328-3-IT-3014.00041.
II. B. P. Ganthia, S. Mohanty, P. K. Rana and P. K. Sahu, “Compensation of voltage sag using DVR with PI controller,” 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Chennai, 2016, pp. 2138-2142, doi: 10.1109/ICEEOT.2016.7755068.
III. B. P. Ganthia, V. Agarwal, K. Rout and M. K. Pardhe, “Optimal control study in DFIG based wind energy conversion system using PI & GA,” International Conference on Power and Embedded Drive Control (ICPEDC), Chennai, 2017, pp. 343-347.
IV. Bekhada, HamaneDoumbia, Mamadou, BOUHAMIDA, Mohamed Draou, Azeddine CHAOUI, HichamBenghanem, Mustapha, “Comparative Study of PI, RST, Sliding Mode and Fuzzy Supervisory Controllers for DFIG based Wind Energy Conversion System”, International Journal of Renewable Energy Research (IJRER), Volume – 5, 2015/12/26, Page 1174 – 1185.
V. Djeriri, Youcef&Meroufel, Abdelkader&Massoum, Ahmed &Boudjema, Zinelaabidine. (2014). A comparative study between field oriented control strategy and direct power control strategy for DFIG. Journal of Electrical Engineering. 14. 169-178.
VI. IulianMunteanu, AntonetaIulianaBratcu, Nicolaos-Antonio Cutululis and Emil Ceanga, “Optimal Control of Wind Energy System”, Springer, London, 2008.
VII. Lei, Yazhou, et al. “Modeling of the wind turbine with a doubly fed induction generator for grid integration studies.” Energy Conversion, IEEE Transactions on 21.1 (2006): 257-264.
VIII. Power conversion and control of wind energy systems by Bin Wu, Yongqiang Lang, NavidZargari, Samir Kouro. IEEE publication.
IX. Qiao, Wei. “Dynamic modeling and control of doubly fed induction generators driven by wind turbines.” Power Systems Conference and Exposition, 2009. PSCE’09. IEEE/PES. IEEE, 2009.
X. S. M. Muyeen, Md. Hasan Ali, R. Takahashi, T. Murata, J. Tamura, Y. Tomaki, A. Sakahara and E. Sasano, “Comparative Study on Transient Stability Analysis of Wind Turbine Generator System Using Different Drive Train Models”, IET Renewable Power Generation, Vol. 1, No, 2, pp. 131-141, June 2007.
XI. Siraj, Kiran, HarisSiraj, and MashoodNasir. “Modeling and control of a doubly fed induction generator for grid integrated wind turbine.” Power Electronics and Motion Control Conference and Exposition (PEMC), 2014 16th International. IEEE, 2014.
XII. T.ghennam, E.M. Berkouk, B. Francois, “Modeling and Control of a Doubly Fed Induction Generator (DFIG) Based Wind Conversion System” IEEE 2009.
XIII. Tao Sun, “Power Quality of Grid-Connected Wind Turbines with DFIG and Their Interaction with the Grid”, Ph.D. dissertation, Aalborg University, Denmark, May 2004.
XIV. Yang, Jin. “Fault analysis and protection for wind power generation systems”. Diss. University of Glasgow, 2011.
XV. Zhang, B.; Hu, W.; Hou, P.; Tan, J.; Soltani, M.; Chen, Z. “Review of Reactive Power Dispatch Strategies for Loss Minimization in a DFIG-based Wind Farm” Energies2017, 10, 856.

View Download