Robust Control of PMSG-based Wind Turbine under Grid Fault Conditions

Nasiri, Mojtaba; Milimonfared, Jafar; Fathi, S. H.

doi:10.17485/ijst/2015/v8i13/52201

Cited by 23 publications

(23 citation statements)

References 12 publications

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“…To evaluate the performances of designed super-twisting sliding mode control in the PMSG-based wind turbines, the several simulations have been carried out on the MAT-LAB/Simulink software. Then this method is compared with the PI controller [8] and FOSMC [13]. The parameters of a 1.5 MW PMSG-based wind turbine and grid characteristics are given in Table 1.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Super‐Twisting Sliding Mode Control for Gearless PMSG‐Based Wind Turbine

2019

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In recent years, the complexities of wind turbine control are raised while implementing grid codes in voltage sag conditions. In fact, wind turbines should stay connected to the grid and inject reactive power according to the new grid codes. Accordingly, this paper presents a new control algorithm based on super-twisting sliding mode for a gearless wind turbine by a permanent magnet synchronous generator (PMSG). The PMSG is connected to the grid via the back-to-back converter. In the proposed method, the machine side converter regulates the DC-link voltage. This strategy improves low-voltage ride through (LVRT) capability. In addition, the grid side inverter provides the maximum power point tracking (MPPT) control. It should be noted that the super-twisting sliding mode (STSM) control is implemented to effectively deal with nonlinear relationship between DC-link voltage and the input control signal. The main features of the designed controller are being chattering-free and its robustness against external disturbances such as grid fault conditions. Simulations are performed on the MATLAB/Simulink platform. This controller is compared with Proportional-Integral (PI) and the first-order sliding mode (FOSM) controllers to illustrate the DC-link voltage regulation capability in the normal and grid fault conditions. Then, to show the MPPT implementation of the proposed controller, wind speed is changed with time. The simulation results show designed STSM controller better performance and robustness under different conditions.

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Section: Simulation Resultsmentioning

confidence: 99%

“…Among the modern nonlinear control, sliding mode control has good feature because it is robust with respect to system parameter uncertainties and external disturbances [13]. The main drawback of conventional sliding mode control is chattering.…”

Section: Introductionmentioning

confidence: 99%

Super‐Twisting Sliding Mode Control for Gearless PMSG‐Based Wind Turbine

2019

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“…By replacing (29) in (30), the d-axis control voltage (control input) of the GSC converter is obtained. Moreover, the block diagram in Figure 9 is obtained by replacing the proposed model for δV C qs in (25).…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In this paper, the grid is considered as an infinite bus to which the wind farm is connected by an RL filter (and a coupling transformer). The equations for the grid-side are expressed in the synchronous reference frame of the d and q axes as follows [25]:…”

Section: Grid-side Modelmentioning

confidence: 99%

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Small-Signal Modeling of PMSG-Based Wind Turbine for Low Voltage Ride-Through and Artificial Intelligent Studies

et al. 2020

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In recent years, due to the several advantages of permanent magnet synchronous generator (PMSG), the number of wind farms utilizing this technology has been significantly grown. The determination of the failure mechanism in these devices is the major challenge which has been addressed in many studies. Particularly, response to grid code compliance by wind power in the voltage drop situation needs to be comprehensively analyzed. In this paper, a small signal model of a PMSG-based wind turbine for low voltage ride-through (LVRT) and suitable for stability and artificial intelligent studies is presented. Accordingly, the generator side converter controls the dc-link voltage, and the maximum power point tracking is performed by the grid side converter. Given the proposed model, the speed of the simulation for stability analysis studies can be significantly increased by intelligent methods. Furthermore, the simplified approach can be achieved for calculating the optimal coefficients of the proportionality-integral controller by intelligent methods in a short time. By simulating the proposed small-signal model and comparing it with the block-based simulation in MATLAB/SIMULINK software, the appropriate accuracy and efficiency of the proposed model are confirmed.

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Real‐Time Fault Ride Through Capability Improvement of PMSG‐Wind Turbine Based on Robust Fractional Order Sliding Mode Control

Feyzi,

Roozbehani,

Ghaseminejad Liasi

et al. 2024

Optim Control Appl Methods

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The increasing integration of renewable energy sources, such as wind power, poses significant challenges for maintaining grid stability and reliability, especially under fault conditions. The issue of transient response speed of the control system during fault occurrence and clearing is one of those challenges. In this article, a fractional‐order sliding mode control (FOSMC) method is introduced for a wind energy conversion system (WECS) with a variable‐speed direct‐drive permanent magnet synchronous generator (PMSG) under both normal and fault conditions. During normal operation, the machine‐side converter (MSC) is utilized to achieve maximum power point tracking (MPPT) for the wind turbine, while the grid‐side converter (GSC) regulates the DC‐link voltage and injected reactive power. In fault conditions, such as low voltage ride through (LVRT) events mandated by grid codes, the MSC adjusts the DC‐link voltage instead of the GSC, while the GSC controls active and reactive powers. The proposed control method is compared to a conventional control system. The results demonstrate that the suggested approach offers faster dynamic response and greater robustness under both balanced and unbalanced conditions. Furthermore, by enhancing LVRT capability and reactive power injection, the proposed control method leads to smaller spikes in injected current and DC link voltage. To validate the proposed method, simulations are performed using offline MATLAB/Simulink simulation. Subsequently, the results are validated through experimental real‐time implementation.

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Robust Control of PMSG-based Wind Turbine under Grid Fault Conditions

Cited by 23 publications

References 12 publications

Super‐Twisting Sliding Mode Control for Gearless PMSG‐Based Wind Turbine

Super‐Twisting Sliding Mode Control for Gearless PMSG‐Based Wind Turbine

Small-Signal Modeling of PMSG-Based Wind Turbine for Low Voltage Ride-Through and Artificial Intelligent Studies

Real‐Time Fault Ride Through Capability Improvement of PMSG‐Wind Turbine Based on Robust Fractional Order Sliding Mode Control

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