Voltage Enhancement on DFIG Based Wind Farm Terminal During Grid Faults

Chung, P. D.

doi:10.48084/etasr.3117

Cited by 13 publications

(20 citation statements)

References 25 publications

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“…The efficiency of the conversion is represented by ‫ܥ‬ ሺߣ, ߚሻ, namely power coefficient [8,23]. This coefficient is reliant on both pitch angle ߚ and tip speed ratio ߣ [8,24]:…”

Section: A Wind Turbinementioning

confidence: 99%

“…At a wind velocity ܸ ௪ and rotational velocity of shaft ߱ , the mechanical power on the wind turbine shaft is defined by [8,24]:…”

Section: A Wind Turbinementioning

confidence: 99%

“…By contrast, when the wind velocity is below the rated value, the pitch angle should be kept at a minimum value and the rotor speed should be adjusted so that the wind turbine operates at its optimal point (ߣ ௧ , ‫ܥ‬ ௫ ሻ. From (3), (4), for ‫ܥ‬ ൌ ‫ܥ‬ ௫ and ߣ ൌ ߣ ௧ , we obtain [24]:…”

Section: A Wind Turbinementioning

confidence: 99%

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Smoothing the Power Output of a Wind Turbine Group with a Compensation Strategy of Power Variation

Chung

2021

Eng. Technol. Appl. Sci. Res.

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This paper proposes a new scheme to reduce the output power variation range of a wind turbine group without an energy storage system. This proposal is based on the active power compensation principle for each wind turbine. In this research, the wind turbine operates in the active power control mode. The reference active power is calculated in such a way that it compensates for the difference between the average output power and the actual output power. To verify and evaluate the proposed method, we simulated a group of two 1.5MW-wind turbines in the Simulink environment of MATLAB. Simulation results were compared to the ones of a wind turbine group without any smoothing scheme and the ones of the same group with the Exponential Moving Average method. From this comparison, we can conclude that with the proposed method, the actual output power of the wind turbine group becomes smoother than that of the wind turbine group without any smoothing scheme. Moreover, the performance of the wind turbine group with the proposed method is better than that of the wind turbine group with the Exponential Moving Average method.

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Section: A Wind Turbinementioning

confidence: 99%

“…At a wind velocity ܸ ௪ and rotational velocity of shaft ߱ , the mechanical power on the wind turbine shaft is defined by [8,24]:…”

Section: A Wind Turbinementioning

confidence: 99%

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Smoothing the Power Output of a Wind Turbine Group with a Compensation Strategy of Power Variation

Chung

2021

Eng. Technol. Appl. Sci. Res.

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“…The opposite side of the consecutive voltage source converter is then coupled to the system's Grid Side Converter (GSC) that takes care of the rotor winding. A DC connection is linked to the RSC and GSC decoupling frames [8].…”

Section: Double Fed Induction Generatormentioning

confidence: 99%

“…When a fault occurs at the WT, it lessens the power yield from the electromagnetic torque and induction generator [8].…”

Section: Transient State Analysismentioning

confidence: 99%

Shunt Connected FACTS Devices for LVRT Capability Enhancement in WECS

Ganthia

Barik

Nayak

2020

Eng. Technol. Appl. Sci. Res.

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When a Double Fed Induction Generator (DFIG) primarily based Type-III Wind Turbine (WT) is connected to the grid without a digital power interface, the terminal voltage or reactive electricity output can’t be managed accordingly. Many techniques have been developed to overcome the issue of low voltage due to faults. This paper tries to define such active methods by presenting a complete analysis of LVRT strategies for DFIG-based Wind Energy Conversion Systems (WECS) in terms of overall adaptive performance, operation complexity of controllers, and cost-effectiveness. This paper aims to highlight the methods of increasing the ability of LVRT relying on the configuration of the relationship into 3 major areas according to its grid integrations. Shunt connections of FACTS devices are used in WECS to study their effectiveness and benefits. The system models are simulated in MATLAB/Simulink and the results are discussed.

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Wind‐assisted microgrid grid code compliance employing a hybrid Particle swarm optimization‐Artificial hummingbird algorithm optimizer‐tuned STATCOM

Imtiaz,

Yang,

Azib Khan

et al. 2024

Wind Energy

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The importance of resolving stability concerns in weak AC grid‐connected doubly fed induction generator (DFIG) wind energy systems during low‐voltage ride‐through (LVRT) events cannot be ignored, given the increasing popularity of wind power‐based microgrids. Furthermore, the emergence of generation loss and postfault oscillation within a microgrid (MG) due to grid faults has also become a significant concern. The static synchronous compensator (STATCOM) under consideration in this study is tuned using particle swarm optimization (PSO), the artificial hummingbird algorithm (AHA), and a hybrid approach incorporating both PSO and AHA. Faults of both a symmetrical and an asymmetrical nature have occurred on the power grid side. The proposed hybrid PSO‐AHA‐tuned STATCOM strategy aims to improve LVRT, minimize power generation loss during faults, and reduce oscillations after a fault by controlling the flow of reactive power between point of common coupling (PCC) and MG. The MATLAB simulation environment was used to simulate the 16 MW MG test system. The performance of the PSO‐AHA‐tuned STATCOM was assessed by comparing results with those from conventional STATCOM, PSO, and AHA optimizer‐tuned STATCOM in four fault situations. A comparison of the results shows that the proposed strategy performed better than other approaches mentioned in this paper and achieved the desired objectives.

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Voltage Enhancement on DFIG Based Wind Farm Terminal During Grid Faults

Cited by 13 publications

References 25 publications

Smoothing the Power Output of a Wind Turbine Group with a Compensation Strategy of Power Variation

Smoothing the Power Output of a Wind Turbine Group with a Compensation Strategy of Power Variation

Shunt Connected FACTS Devices for LVRT Capability Enhancement in WECS

Wind‐assisted microgrid grid code compliance employing a hybrid Particle swarm optimization‐Artificial hummingbird algorithm optimizer‐tuned STATCOM

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