DFIG performance improvement in grid connected mode by using fractional order [PI] controller

Mahvash, Hossein; Taher, Seyed Abbas; Rahimi, Mohsen; Shahidehpour, Mohammad

doi:10.1016/j.ijepes.2017.10.008

Cited by 34 publications

(17 citation statements)

References 29 publications

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“…In recent years, the advancement in the research field of advanced control is oriented towards the use of fractional calculus to improve the performance of the control loop, which leads to rising of noninteger controllers more flexible than others [12]. e fractionalorder PI (FO-PI) controller, which is a generalization of the classical PI corrector, has been proposed in many works [12][13][14].…”

Section: Literature Reviewmentioning

confidence: 99%

“…e control system based on fractional-order integral and derivative is investigated in many fields of engineering such as quadrotor [15] and renewable energy conversion system [13,14,16] to ensure fast convergence to the desired value and high precision. e fractional-order operators offer the additional parameters (two degrees of freedom) for more flexibility of the controller and additional performance in the control design.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Continuous Nonlinear Fractional-Order PI Controller for Primary Frequency Control Application

Elyaalaoui

Labbadi

Ouassaid

et al. 2021

Mathematical Problems in Engineering

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In this paper, a nonlinear fractional-order PI (NL-FO-PI) controller is proposed for primary frequency control (PFC) of a wind farm based on the squirrel cage induction generator. The new structure composites a fractional-order operator and nonlinear function to achieve better control performance for the PFC system. The benchmarking process is demonstrated by investigating the performance of fractional-order PI (FO-PI) and nonlinear PI (NL-PI) controllers. Initially, the controller is applied to a single-area power system for design and stability study and then extended to the two-area interconnected wind farm to validate the applicability in the more realistic power system. The proposed control method ensures the balance of power and keeps the system frequency within a suitable range. The simulation results demonstrate that the proposed NL-FO-PI controller provides less percentage overshoot, settling time, rise time, and peak time than other controllers.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A Continuous Nonlinear Fractional-Order PI Controller for Primary Frequency Control Application

Elyaalaoui

Labbadi

Ouassaid

et al. 2021

Mathematical Problems in Engineering

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“…Oustaloup filter approximation to a fractional‐order differentiator is a widely used one in fractional calculus [18]. A generalised Oustaloup filter can be designed as

G_{f} ()(, s) = K \prod_{k = 1}^{N} \frac{s + ω_{k}^{^{'}}}{s + ω_{k}}

where the poles, zeros, and gain are evaluated from

ω_{k}^{'} = ω_{b} ω_{u}^{()(, 2 k - 1 - γ) / N}, ω_{k} = ω_{b} ω_{u}^{()(, 2 k - 1 + γ) / N}, K = ω_{h}^{γ}

where

ω_{u} = \sqrt{ω_{h} / ω_{b}}

.…”

Section: Concepts Of Fractional‐order Calculusmentioning

confidence: 99%

“…Mahvash et al [18] were based on the design and application of the FO [PI] controllers in the RSC of 660 kW DFIGs in a wind farm, which was connected to the weak grid. In [19] a fault‐tolerant fractional‐order sliding mode controller was formulated for the active and reactive power controls of a DFIG‐based wind energy system.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fractional‐order control of power system frequency in the presence of wind turbine

Kazemi

Gholamian

Sadati

2019

IET Generation, Transmission & Distribution

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“…In wind turbine the stator active and reactive power control of the DFIG is based on the theory of the induction machine vector control. The main duty of RSC is to control DFIG-produced active and reactive powers [27]. The system dynamics, neglecting the friction loss, is given by:…”

Section: Dfig's Model and Controlmentioning

confidence: 99%

Active and Reactive Power Control for DFIG Using PI, Fuzzy Logic and Self-Tuning PI Fuzzy Controllers

Tamaarat¹

2019

AMA_C

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This paper presented a system consists of wind turbine operating under the wind speed change, doubly fed induction generator (DFIG) connected directly to the constant grid by the stator and fed by a power converter on the rotor side. Vector control is used to independently control the flow of active and reactive power between the stator of the (DFIG) and the grid, which in this paper is realized, with conventional PI, fuzzy logic and fuzzy self-tuning PI controllers. The proposed controllers generate the references rotor voltages required to guarantee active and reactive power reach their desired reference values. Modeling and simulation of system using MATLAB and their behavior has been examined with simulations. The dynamics of the system is analyzed under varying wind speed, this analysis is focused on the active and reactive power control. The results obtained from PI controller, fuzzy and Fuzzy self tuned PI controllers are compared to validate the advantages of the proposed intelligent controllers based on fuzzy systems.

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DFIG performance improvement in grid connected mode by using fractional order [PI] controller

Cited by 34 publications

References 29 publications

A Continuous Nonlinear Fractional-Order PI Controller for Primary Frequency Control Application

A Continuous Nonlinear Fractional-Order PI Controller for Primary Frequency Control Application

Adaptive fractional‐order control of power system frequency in the presence of wind turbine

Active and Reactive Power Control for DFIG Using PI, Fuzzy Logic and Self-Tuning PI Fuzzy Controllers

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