Volume 19, Issue 2 (June 2023)                   IJEEE 2023, 19(2): 2431-2431 | Back to browse issues page

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Hamza G, Sofiane M, Benbouhenni H, Bizon N. Optimal Operation of Doubly-fed Induction Generator used in a Grid-Connected Wind Power System. IJEEE 2023; 19 (2) :2431-2431
URL: http://ijeee.iust.ac.ir/article-1-2431-en.html
Optimal Operation of Doubly-fed Induction Generator used in a Grid-Connected Wind Power System
G. Hamza , M. Sofiane , H. Benbouhenni , N. Bizon
Abstract:   (1421 Views)
In this paper, a wind power system based on a doubly-fed induction generator (DFIG) is modeled and simulated. To guarantee high-performance control of the powers injected into the grid by the wind turbine, five intelligent super-twisting sliding mode controllers (STSMC) are used to eliminate the active power and current ripples of the DFIG. The STSMC controller is a high-order sliding mode controller which offers high robustness compared to the traditional sliding mode controller. In addition, it reduces the phenomenon of chattering due to the discontinuous component of the SMC technique. However, the simplicity, ease of execution, durability, and ease of adjusting response are among the most important features of this control compared to some other types. To increase the robustness and improve the response of STSMC, particle swarm optimization method is used for this purpose, where this algorithm is used for parameter calculation. The simulation results obtained using MATLAB software confirm the characteristics of the designed strategy in reducing chattering and ensuring good power control of the DFIG-based wind power.
Keywords: Sliding Mode Control, Doubly-fed Induction Generator, Super-twisting Sliding Mode Controller, Particle Swarm Optimization, Wind Turbine.
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Type of Study: Research Paper | Subject: Robust Control
Received: 2022/02/17 | Revised: 2023/06/06 | Accepted: 2023/06/11
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.