Robust Control of Doubly Fed Induction Generator Using Fractional Order Control

Azza, Abdelaziz; Kherfane, Hamid

doi:10.11591/ijpeds.v9.i3.pp1072-1080

Cited by 11 publications

(7 citation statements)

References 17 publications

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“…In [28], a new method is proposed to control the active and reactive powers of DFIG using fractional-order sliding mode control (FOSMC) strategy. In [29], field-oriented control was proposed based on the fractional-order PI controllers to control the active and reactive power of DFIG.…”

Section: Fractional Order Super Twisting Algorithmsmentioning

confidence: 99%

Improved dfig dftc by using a fractional-order super twisting algorithms in wind power application

Almakki

Mazalov

2021

Modern Transportation Systems and Technologies

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Background: The direct flux and torque control are a robust, simple, and alternative approach control formulation that does not require decomposition into symmetrical components; the direct flux and torque control schemes have been proved to be preponderant for doubly-fed induction generators due to the simple implementation. Aim: This work presents the minimization of electromagnetic torque and rotor flux undulations of doubly-fed induction generators using fractional-order super twisting algorithms and modified space vector modulation techniques. Methods: The main role of direct flux and torque control is to regulate and control the electromagnetic torque and rotor flux of doubly-fed induction generators for wind turbine systems. The direct flux and torque control is a traditional control algorithm and robust technique. Fractional-order super twisting algorithms are a new and proposed nonlinear controller; characterized by a robust controller and a simpler algorithm, which gives a good harmonic distortion of current compared to other methods. Novelty: The A fractional-order super twisting algorithm is proposed. Proposed nonlinear controller construction is based on the traditional super twisting algorithm and fractional calculus to obtain a robust controller and reduces the electromagnetic torque and rotor flux undulations of doubly-fed induction generators. We use in our study a 1.5 MW doubly-fed induction generator integrated into a single-rotor wind turbine system to minimizes the electromagnetic torque, stator current, rotor flux undulations. As shown in the results figures using fractional-order super twisting algorithms ameliorate effectiveness especially minimizes the electromagnetic torque and rotor flux, and minimizes harmonic distortion of stator current (0.16 %) compared to the traditional control scheme. Results: As shown in the results figures using fractional-order super twisting algorithms ameliorate effectiveness especially minimizes the electromagnetic torque and rotor flux, and minimizes harmonic distortion of stator current (0.16 %) compared to the traditional control scheme. Conclusion: The direct flux and torque control are a robust, simple, and alternative approach control formulation that does not require decomposition into symmetrical components; the direct flux and torque control schemes have been proved to be preponderant for doubly-fed induction generators due to the simple implementation.

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Section: Fractional Order Super Twisting Algorithmsmentioning

confidence: 99%

Improved dfig dftc by using a fractional-order super twisting algorithms in wind power application

Almakki

Mazalov

2021

Modern Transportation Systems and Technologies

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“…Adopting a 'λ' order integrator and 'μ'order differentiator. He proven the excellence of the FOPID controllers than the typical PID controllers which have three tuning parameters [6].…”

Section: Fopi Assessormentioning

confidence: 99%

“…The generic form of the translation action of the plant was = + 1 − − − − − − − (16) where T and K are constants. In this sector, two distinct assessors are discussed as ensures: − − − − − ( )Design Stipulation:A tune method for PI assessorand FOPIassessor[6] is proposed. We adopt the gain crossover frequency, Wc and phase margin ɸm to be co equal for the pair of assessors.For the system cohesion and vitality the following restraints are considered∅ Where G(jw) is the open loop translation action of the system,c(jw) is the assessor translation action and P(jw) is the plant translation action.…”

mentioning

confidence: 99%

“…the derivative of the open loop phase at the gain cross over frequency to be level to zeroFractional order PI assessor adopting:A tune methodfor FOPI assessor is given below for the considered first order plant. The open loop translation action with FOPI assessor is[6] T are known and Kp,Ki and should be designed in the assessor design process. The FOPI assessor can be expressed as…”

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confidence: 99%

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Active and Reactive Power Control of Dcig Wind Power System using Evolutionary Algorithm Based Fraction Order Controllers.

2019

IJITEE

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This paper commences an exalted control scenario for Wind Energy Systems(WES) adopting Doubly Cater Induction Generator (DCIG) . A vigorous Ant Lion Optimizer(ALO) technique is assented with a Fractional Order PI assessor to optimize the powers and to lift the aggressive performance of WES[2][3]. The enforcement and adequacy of ALOFOPI assessor shows amusing countenance in terms of blather devaluation confined concurrence time and hefty against specifications[1]. The proposed ALOFOPI algorithm shows a great convergence and enhanced stability

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“…Very recently, the fractional control concept has appeared as a powerful algorithm to ensure the system's performance even in cases of presence of the parameter uncertainties and external disturbances 32,33 . The projection of this concept on the standard PI controllers led birth to the fractional‐order proportional integral (FOPI) controllers, which have a similar structure to PI controllers, but the integer order of integral action is replaced by the fractional‐order 33‐35 .…”

Section: Introductionmentioning

confidence: 99%

Adaptive FOPI controller based on the fuzzy supervisory for wind power conversion system equipped by a doubly fed induction generator

Kasbi

Rahali

2021

Int Trans Electr Energ Syst

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Summary Wind power systems have non‐linear dynamics and contain many uncertainties such as the parametric uncertainty and the unknown external disturbances. For these reasons, it is a crucial task to design the robust control systems to assure a robust response of wind systems during uncertainties without deteriorating the supplied power quality or stressing the static power converters. This paper designs an adaptive fractional‐order proportional‐integral (FOPI) control system for a wind power conversion system (WPCS) equipped by a doubly fed induction generator (DFIG) in the electric power grid (EPG) connected mode. The designed adaptive control system combines the robust and intelligent nature of the fuzzy supervisory system (FSS) and simple structure of FOPI controller, where the fuzzy rules are utilized to adjust the FOPI controller parameters based on the error and its rate, resulting in an adaptive fuzzy FOPI (AFFOPI) control system, which can keep the control action touch of the standard FOPI controller and, at the same time, provides the robustness during uncertainties without effect on the power quality supplied to the EPG. Pursuant to the vector control technology of the DFIG, the designed adaptive fuzzy FOPI controllers are applied in both the external loop of power control and in the internal loop of rotor current control, simultaneously. The feasibility of the presented adaptive FOPI control is validated through the numerical results obtained, under different running conditions, using the Matlab/Simulink software.

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Robust Control of Doubly Fed Induction Generator Using Fractional Order Control

Cited by 11 publications

References 17 publications

Improved dfig dftc by using a fractional-order super twisting algorithms in wind power application

Improved dfig dftc by using a fractional-order super twisting algorithms in wind power application

Active and Reactive Power Control of Dcig Wind Power System using Evolutionary Algorithm Based Fraction Order Controllers.

Adaptive FOPI controller based on the fuzzy supervisory for wind power conversion system equipped by a doubly fed induction generator

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