Design of Robust Control Based on R∞ Approach of DFIG for Wind Energy System

Bakou, Youcef; Saihi, Lakhdar; Koussa, Khaled; Ferroudji, Fateh; Roumani, Kassem; Meguellati, Farouk; Hammaoui, Youcef; Abid, M.; Yaichi, Ibrahim; Aissaoui, Abdel Ghani

doi:10.1109/gpecom.2019.8778584

Cited by 20 publications

(9 citation statements)

References 2 publications

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“…The design of 𝑤 3 aimed to adjust the behavior of the complementary sensitivity function T(s) in low and medium frequencies. Note that the KS and T have the same function [2], it is sufficient to fixed 𝑤 2 as a constant. The final controller 𝐾 ∞ (𝑠) is given as:…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Determining the controller function K(s) that minimizes the H∞ norm of the transfer function while internally stabilizing the controlled dynamics closed-loop is the major challenge of the H∞ control technique [23]. The H∞ synthesis employs the conventional problem concept, which is depicted in Figure 1 [2]. The dynamic interactions between two sets of inputs and two sets of outputs are modeled by the G(s) transfer matrix, which are augmented with weighting transfer function Wn(s): The external inputs, such as noise, disturbances, and reference signals, are represented by the vector w; The vector u represents the commands; the e signals are selected to represent the correct functioning of system; and y represents the measures available to develop the order.…”

Section: Iv1 H∞control Designmentioning

confidence: 99%

“…Wind energy is one of the most frequently applied methods of power generation among the many different types of renewable energy resources because of its financial benefits and compatibility with power grids in many locations [1]. To improve the performance of wind power generation, researchers from the industrial and academic sectors have recently devoted their efforts to it [2]- [4]. To ensure national energy security and diversify domestic energy sources, Algeria has an ambitious plan to develop renewable energy as a solution [5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Direct Field Orientation Control Based on H∞ Method of Wind Turbine Based on DFIG

Bakou

Saihi

Abid

et al. 2022

AJRESD

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This study aims to propose the direct field orientation control based on the H-infinity method (DFOC_ H∞) scheme for controlling the stator power (active/ reactive) of a direct drive vertical axis wind turbine power system based on a doubly fed induction generator (DFIG). the sensitivity to parameters uncertainty of the machine presents the major drawback of the PI controller, in order to cope with this problem; the H-infinity method was used to solve it. The proposed controller H∞ is evaluated with Matlab/Simulink. Simulation results showed that the suggested H∞ controller has a good performance in terms of enhancing the quality of energy provided to the power network. Even in the presence of DFIG parameter variation.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Iv1 H∞control Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Direct Field Orientation Control Based on H∞ Method of Wind Turbine Based on DFIG

Bakou

Saihi

Abid

et al. 2022

AJRESD

Self Cite

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“…It is an important solution for system disturbances and uncertainties. The robust H∞ control (advanced frequency control) was proposed from the search for a better formalization of the specifications by mathematical criteria whose effective resolution makes it possible to synthesize a corrector answering these specifications [13], [14].…”

Section: Advanced Frequency Control Strategy Of Dfigmentioning

confidence: 99%

A Hybrid H∞-MRAS Observer of Wind Turbines Conversion Systems based on DFIG

Saihi

Bakou

Ferroudji

et al. 2022

AJRESD

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This study proposes the robust sensor-less advanced frequency control (robust H∞ control) of the system of wind turbine based on a doubly fed induction generator (DFIG), the power exchange between the machine stator and the network is achieved by applying the rotor of DFIG via a bidirectional converter. The purpose of the control is to regulate the stator active and reactive power produced by the DFIG using a robust H∞ controller. The Model reference and adaptive system (MRAS-Observer) uses the error between the actual and estimated values (voltage/current) to construct the observed mechanical parameters (speed and position) value, this technique uses two separate models: the first is the reference model, the second is the adjustable mode. The error between these models is used by the adaptive mechanism. The adjustment mechanism is mostly a PI controller, to improve the performance and robustness of the classical MRAS observer, we replace the classical PI controller with a robust H∞ controller. The results simulations confirm the robustness of the sensorless robust H∞ control using the H∞-MRAS observer compared to conventional MRAS, which improves the quality and quantity of generated power.

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“…In order to simplify the equations of the DFIG, we have chosen a stator flux constant and aligned along the d-axis of the Park reference [11]. By adopting the hypothesis of a stator resistance Rs neglected [4,12], the electrical equations of the DFIG model will become as follow:…”

Section: Dfig Modelingmentioning

confidence: 99%

Comparative Study of Active Disturbance Rejection Control with RST Control for Variable Wind Speed Turbine Based on Doubly Fed Induction Generator Connected to the Grid

Chakib¹,

Nasser²,

Essadki³

2020

IJIES

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In this paper, we propose a new control strategy called linear active disturbance rejection control (ADRC) used to control the wind energy conversion system (WECS) based on doubly-fed induction generator (DFIG). This recent control strategy is compared with the conventional RST polynomial control method considered better and more efficient than the classical PI method according to different works. By the extended state observer ESO of the ADRC controller, the internal and the external disturbances on the system are estimated and compensated as a total disturbance in real time. Moreover, the proposed ADRC method is easy to tune and more practical which has only one tuning parameter. The RST controller has three polynomials chosen in order to reduce the effect of disturbance. These controllers have been used to control the stator powers of DFIG in order to extracting the maximum energy produced by the wind by using a maximum power point tracking (MPPT), to regulate the dc-link voltage in order to maintain DC bus voltage at constant value and to regulate the reactive power to ensure a unitary power factor. Then, these both control strategies are designed and their performances are compared in order to deduce the most efficient in terms of reference tracking and robustness. The simulation results prove that the proposed ADRC control technique is more robust and have better performance than the RST control.

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Design of Robust Control Based on R∞ Approach of DFIG for Wind Energy System

Cited by 20 publications

References 2 publications

Direct Field Orientation Control Based on H∞ Method of Wind Turbine Based on DFIG

Direct Field Orientation Control Based on H∞ Method of Wind Turbine Based on DFIG

A Hybrid H∞-MRAS Observer of Wind Turbines Conversion Systems based on DFIG

Comparative Study of Active Disturbance Rejection Control with RST Control for Variable Wind Speed Turbine Based on Doubly Fed Induction Generator Connected to the Grid

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