Modeling and Fuzzy Logic Control of the Doubly Fed Induction Generator used in Wind Power and Application to the Industrial Context with an Equivalent Photovoltaic System
Bounifli Fatima Ezzahra1, Elmoudden Abdelhadi2, Hmidat Abdelhamid3

1Bounifli Fatima Ezzahra*, Laboratory of Energy & Electrical Systems, Superior National School of Electricity and Mechanical (ENSEM), Casablanca, Morocco.
2Elmoudden Abdelhadi, Laboratory of Energy & Electrical Systems, Superior National School of Electricity and Mechanical (ENSEM), Casablanca, Morocco.
3Hmidat Abdelhamid, Laboratory Of Energy & Electrical Systems, Superior National School of Electricity and Mechanical (ENSEM), Casablanca, Morocco.
Manuscript received on December 16, 2019. | Revised Manuscript received on December 25, 2019. | Manuscript published on January 10, 2020. | PP: 3144-3150 | Volume-9 Issue-3, January 2020. | Retrieval Number: C7952019320/2020©BEIESP | DOI: 10.35940/ijitee.C7952.019320
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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: In this paper, we are first going to present two different renewable energy systems based on wind and photovoltaic energy in order to provide an industrial site with electrical power. This study will continue with the sizing of these systems and the assessment of their performances through a technical and economic comparison. The results show that wind energy have a low impact and a reasonable economic cost. In the second part of this paper, we are going to focus on the modelling of a Doubly Fed Induction Generator (DFIG) used in wind systems in order to compare its performances to a squirrel cage generator (SCG). Final part has been attempted to presents the comparative study of Proportional Integral (PI), Proportional Integral Derivative (PID) and fuzzy controllers. The simulations of the operation of the different generators are done with MATLAB/SIMULINK and our results are presented and analysed at the end of this work. 
Keywords: Photovoltaic Energy, Wind Energy, DFIG, SCG, Fuzzy.
Scope of the Article: Fuzzy Logic