Hybrid DFIG Driven Wind Turbine – Grid Systems Modeling and Control for Reliable Source
Sally El-Tawab1, Ibrahim Nassar2, Mohammed Mehanna3
1Sally El-Tawab, Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Cairo, Egypt.
2Ibrahim Nassar, Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Cairo, Egypt.
3Mohammed Mehanna, Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Cairo, Egypt.

Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 400-409 | Volume-8 Issue-4, November 2019. | Retrieval Number: D6960118419/2019©BEIESP | DOI: 10.35940/ijrte.D6960.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper proposes an approach for modeling the wind turbines and designing a control methodology. Look up table of the optimal power is achieved based on maximum power point tracking (MPPT) profile for maximizing system effectiveness. A 5*2 MW and 690 V wind farm connected with IEEE 14 bus network is the suggested system. The wind energy conversion systems (WECS) are associated with the network through Voltage Source Converters (VSC). The doubly-fed induction generator (DFIG) is used, due to its ability to work at multiple operational speeds. DFIG vector control model is used for the system performance validation. Pitch angle control methodology is used for regulating the mechanical power at high wind velocity. The controller dynamic range for both wide speed changes and line faults is significantly achieved. An acceptable output power is obtained using this system for wide speed range. The MATLAB/Simulink software is used to construct a model of wind farm and the utilized public network.
Keywords: DFIG, Grid Side Converter (GSC), Rotor Side Converter (RSC), Wind Turbine Modeling.
Scope of the Article: Systems and Software Engineering.