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Open AccessArticle

Direct Power Control Optimization for Doubly Fed Induction Generator Based Wind Turbine Systems

1
Research Laboratory in Automatic Control (LARA), National Engineering School of Tunis (ENIT), University of Tunis, El Manar, BP 37, Le Belvédère, 1002 Tunis, Tunisia
2
High Institute of Industrial Systems of Gabès, 6011 Gabès, Tunisia
*
Authors to whom correspondence should be addressed.
Math. Comput. Appl. 2019, 24(3), 77; https://doi.org/10.3390/mca24030077
Received: 16 July 2019 / Revised: 18 August 2019 / Accepted: 22 August 2019 / Published: 26 August 2019
This study presents an intelligent metaheuristics-based design procedure for the Proportional-Integral (PI) controllers tuning in the direct power control scheme for 1.5 MW Doubly Fed Induction Generator (DFIG) based Wind Turbine (WT) systems. The PI controllers’ gains tuning is formulated as a constrained optimization problem under nonlinear and non-smooth operational constraints. Such a formulated tuning problem is efficiently solved by means of the proposed Thermal Exchange Optimization (TEO) algorithm. To evaluate the effectiveness of the introduced TEO metaheuristic, an empirical comparison study with the homologous particle swarm optimization, genetic algorithm, harmony search algorithm, water cycle algorithm, and grasshopper optimization algorithm is achieved. The proposed TEO algorithm is ensured to perform several desired operational characteristics of DFIG for the active/reactive power and DC-link voltage simultaneously. This is performed by solving a multi-objective function optimization problem through a weighted-sum approach. The proposed control strategy is investigated in MATLAB/environment and the results proved the capabilities of the proposed control system in tracking and control under different scenarios. Moreover, a statistical analysis using non-parametric Friedman and Bonferroni–Dunn’s tests demonstrates that the TEO algorithm gives very competitive results in solving global optimization problems in comparison to the other reported metaheuristic algorithms. View Full-Text
Keywords: doubly fed induction generator; PI tuning; LCL-filter; passive damping; advanced metaheuristics; Bonferroni–Dunn and Friedman’s tests doubly fed induction generator; PI tuning; LCL-filter; passive damping; advanced metaheuristics; Bonferroni–Dunn and Friedman’s tests
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Alhato, M.M.; Bouallègue, S. Direct Power Control Optimization for Doubly Fed Induction Generator Based Wind Turbine Systems. Math. Comput. Appl. 2019, 24, 77.

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