An optimal second‐order sliding mode based inter‐area oscillation suppressor using chaotic whale optimization algorithm for doubly fed induction generator

2021 ◽  
Author(s):  
Ali Darvish Falehi
Keyword(s):  
Optimization Algorithm ◽  
Sliding Mode ◽  
Second Order ◽  
Whale Optimization Algorithm ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Whale Optimization ◽  
Doubly Fed ◽  
Second Order Sliding Mode

scholarly journals Modeling and Performance Improvement of Direct Power Control of Doubly-Fed Induction Generator Based Wind Turbine through Second-Order Sliding Mode Control Approach

Mathematics ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 2012
Author(s):  
Mohammed Mazen Alhato ◽  
Soufiene Bouallègue ◽  
Hegazy Rezk
Keyword(s):  
Sliding Mode Control ◽  
Power Control ◽  
Sliding Mode ◽  
Second Order ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Direct Power ◽  
Direct Power Control ◽  
Doubly Fed ◽  
Second Order Sliding Mode

A second-order sliding mode (SOSM)-based direct power control (DPC) of a doubly-fed induction generator (DFIG) is introduced in this research paper. Firstly, the DFIG output powers are regulated with the developed SOSM controller-based DPC scheme. The Super Twisting Algorithm (STA) has been used to reduce the chattering phenomenon. The proposed strategy is a combination of the Lyapunov theory and metaheuristics algorithms, which has been considered to identify the optimal gains of the STA-SOSM controllers. The Lyapunov function method is employed to define the stability regions of the controller parameters. On the other hand, the metaheuristics algorithms are mainly employed to select the fine controllers’ parameters from the predefined ranges. A Thermal Exchange Optimization (TEO) method is used to compute the optimal gain parameters. To prove the superiority of the proposed TEO, its obtained results have been compared with those obtained by other algorithms, including particle swarm optimization, genetic algorithm, water cycle algorithm, grasshopper optimization algorithm and harmony search algorithm. Moreover, the results of the introduced TEO-based SOSM controller have been also compared with the Proportional-Integral (PI)-based vector control and the conventional sliding mode control-based DPC. Moreover, an empirical comparison is carried out to investigate the indication of every metaheuristics method by employing Friedman’s rank and Bonferroni tests. The main findings indicate the effectiveness of STA-SOSM control for system stability and power quality improvement. The ripples in the active and reactive powers are minimized and the harmonics’ distortions of stator and rotor currents are improved. Besides, the STA-SOSM controller shows a superior performance of control in terms of chattering phenomenon elimination.

scholarly journals Comparison study between SVPWM and FSVPWM strategy in fuzzy second order sliding mode control of a DFIG-based wind turbine

2019 ◽  
Vol 12 (2) ◽  
pp. 1-10
Author(s):  
Habib Benbouhenni
Keyword(s):  
Sliding Mode Control ◽  
Pulse Width Modulation ◽  
Sliding Mode ◽  
Second Order ◽  
Doubly Fed Induction Generator ◽  
Comparison Study ◽  
Mode Control ◽  
Chattering Free ◽  
Doubly Fed ◽  
Second Order Sliding Mode

Abstract In this work, we present a new fuzzy second-order sliding mode controller (FSOSMC) for wind power transformation system based on a doubly-fed induction generator (DFIG) using intelligent space vector pulse width modulation (SVPWM). The proposed command strategy combines a fuzzy logic and a second order sliding mode control (SOSMC) for the DFIG command. This strategy presents attractive features such as chattering-free, compared to the conventional first and second order sliding mode techniques. The use of this method provides very satisfactory performance for the DFIG command. The effectiveness of this command strategy is proven through the simulation results.

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