Synthesis of SMC algorithms applied to wind generator

Abdelli, Houaria; Mezouar, Abdelkader; Bendjebbar, Mokhtar; Belgacem, Kheira

doi:10.11591/ijpeds.v12.i1.pp404-412

Cited by 3 publications

(4 citation statements)

References 5 publications

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“…The major advantage of the wind turbine lies in its resistance to disturbances that can harm its operation. we quote [21] who were interested to developed a method to diagnose potential electrical faults attacking the DFIG, in [22] the autors focused on the development of a robust algorithm using the sliding mode control to avoid the problem of chattering. To reduce this phenomenon the autors of [23] have combined the sliding mode and the backstepping controller.…”

Section: Issn: 2502-4752 mentioning

confidence: 99%

“…From (11) the control of the active and reactive power of the machine is done through the rotor currents by acting on the rotor voltages, as illustrated in Figure 2. The basic idea of sliding mode control is to force and pull the dynamics (state) of the system to a suitably selected region called the sliding surface, and then to design a control law that will always keep the system in this region [22], [32]. From the (11) we deduce as (13).…”

Section: The Dfig Controlmentioning

confidence: 99%

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Adaptive doubly fed induction generator’s control driven wind turbine using luenberger observer optimized by genetic algorithm

Elaimani

Essadki²,

Elmouhi³

et al. 2022

IJEECS

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The calculation of control parameters for a system control method is based on the model of the system with assumed fixed internal parameters. However, these parameters can vary greatly due to several phenomena. This paper presents an adapted control of a doubly fed induction generator machine robust against the rotor resistance variations of the machine used as a generator in wind energy conversion systems. The adaptation is ensured by a system allowing to identify in real time the value of the resistance, the system used is mainly based on a Luenberger observer. The conversion system is divided into two parts, the first mechanical part containing the turbine and the gearbox, the second electrical one consisting of a double fed induction generator, linked on the stator side directly to the grid, and on the rotor, side linked to the grid through two power electronics converters interposed with a direct current (DC) link. The machine-side converter is used to control the active and reactive powers, and the second on the grid side is used to control the DC link voltage. The converters are controlled by the sliding mode strategy, and the validity of the methods is checked by simulation using MATLAB/Simulink.

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Section: Issn: 2502-4752 mentioning

confidence: 99%

Section: The Dfig Controlmentioning

confidence: 99%

Adaptive doubly fed induction generator’s control driven wind turbine using luenberger observer optimized by genetic algorithm

Elaimani

Essadki²,

Elmouhi³

et al. 2022

IJEECS

View full text Add to dashboard Cite

show abstract

“…Technological progress and the development of wind systems have encouraged their integration into the electrical system [1]. This considerable integration of the wind turbine into grid especially wind systems equipped with doubly feed induction generators (DFIG) [2], [3]. This dominance of DFIG is due to its advantages which are variable speed operation, the converters used are only sized at a fraction 25-30% of the DFIG power rated and the decoupled active and the reactive power control [4]− [8].…”

Section: Introductionmentioning

confidence: 99%

Design and control of DFIG with SMES storage under symmetrical grid fault

Riouch¹,

Nichita

2023

IJPEDS

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<span lang="EN-US">This paper presents a novel design and robust control for wind conversion systems using DFIG. The system is designed to reduce the problems related to the sudden variation of the wind speed and to improve the sensitivity of the DFIG to grid faults to avoid disconnection of the wind system from the electrical grid. To enhance the DFIG behavior, power fluctuation and to protect power devices under symmetrical faults, a specific superconducting magnetic energy storage (SMES) scheme and its control are proposed. To validate this study, the control structure and strategies were implemented in the MATLAB/Simulink environment. The results obtained by simulation were compared with those using traditional control strategies, they highlight an improvement in the functioning of wind conversion systems of this type, showing the rigor and effectiveness of the proposed strategy.</span>

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“…Indeed, it is known as a clean renewable energy and it is free. The popular development in the world and the growing needs for electrical energy in the industrial and domestic fields has led to think of other sources of energy such as renewable energy which has several advantages [1], [2]. After the recurrent global oil crises, the exploitation and installation of wind energy sources are increasingly recommended and encouraged.…”

Section: Introductionmentioning

confidence: 99%

Comparative study between PI and SMC controllers for DFIG using fuzzy wind power estimator

Jemmali,

Elleuch,

Abid

et al. 2023

IJPEDS

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In this paper, we are interested in the control of the rotor current of the doubly feed induction generator (DFIG), that is used in wind turbines. In this context, we present a comparative study between two types of controllers. The first is based on a classic PI proportional-integral control, while the second is based on the SMC sliding control. The command chain uses a fuzzy estimator of the wind power, which makes it possible to determine the reference speed of DFIG. The system includes essentially a turbine, two converters, one on the rotor side and the other on the grid side, and a filter. The grid-side converter is used to maintain a constant DC bus voltage and to control rotor reactive power. The rotor side converter is used to control the speed of the DFIG to guarantee maximum power extracted from the turbine. In addition, this converter allows controlling the reactive power through the control of the rotor current according to the axis "d" of the frame linked to the rotating field. The simulation results show the effectiveness of sliding mode control (SMC) for the considered system.

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Synthesis of SMC algorithms applied to wind generator

Cited by 3 publications

References 5 publications

Adaptive doubly fed induction generator’s control driven wind turbine using luenberger observer optimized by genetic algorithm

Adaptive doubly fed induction generator’s control driven wind turbine using luenberger observer optimized by genetic algorithm

Design and control of DFIG with SMES storage under symmetrical grid fault

Comparative study between PI and SMC controllers for DFIG using fuzzy wind power estimator

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