A State-of-the-Art Review on LVRT Enhancement Techniques for DFIG-Based Wind Turbines

Paliwal, Priyanka

doi:10.1007/978-981-16-1476-7_13

Cited by 6 publications

(1 citation statement)

References 37 publications

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“…Frequency, Power grid support capabilities, Voltage, Power factor regulation, FRT or LVRT capability are all dynamic criteria that determine the system's operational range. Hence the short circuit faults parameters namely transient time, maximum current, steady-state, and voltage sag or FRT values are measured for their impact at the GSC and MSC points (16)(17)(18) .…”

Section: Resultsmentioning

confidence: 99%

Impact of an Unsymmetrical Fault on the Controller of the DFIG Wind Farm

Magesh¹,

Annie²,

Sambath³

et al. 2023

IJST

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Objectives: DFIG-based wind farms are predominant in their performance when compared to other types of generators. In the field study, due to transient events, converters at the machine side and grid side are affected. To protect the converters from an abnormal operation, overcurrent protective relays have to be designed and incorporated. Unsymmetrical fault analysis are help in the design of protective devise and speed sensors. Methods: DFIG-based wind systems are developed using the DIgSILENT power factory software and EMT simulations are executed during the unsymmetrical faults applied near the Machine Side Converter (MSC) and Grid Side Converter(GSC). Findings: During the simulation studies, various parameters are transient time, maximum current, steady-state, and voltage drop identified near the MSC and GSC. The short circuit parameters are attenuated during the unsymmetrical faults and the rotor maximum current increases by 2 to 3 times the rated current per unit, 40% to 50% voltage dip, and the current reach the steady state value after 1.213 sec during the fault. The parameters are affected more when a fault occurs near the GSC when compared to a fault near MSC. Novelty: These research findings will contribute to a better understanding and improvement of sensor sensitivity, as well as the development of control mechanisms, and protection tactics in designing more accurate and appropriate for DFIG-WT.

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Section: Resultsmentioning

confidence: 99%

Impact of an Unsymmetrical Fault on the Controller of the DFIG Wind Farm

Magesh¹,

Annie²,

Sambath³

et al. 2023

IJST

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Improvement of LVRT capability of grid‐connected wind‐based microgrid using a hybrid GOA‐PSO‐tuned STATCOM for adherence to grid standards

Yameen,

Lu,

Rao

et al. 2024

IET Renewable Power Gen

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The increase in wind power‐based microgrids emphasizes the importance of addressing stability challenges during low‐voltage ride‐through (LVRT) events in weak AC grid‐connected doubly fed induction generator systems. Compliance with grid standards, notably LVRT capabilities, is critical as wind power plants integrate increasingly into power systems, raising concerns about generation loss and post‐fault oscillations in microgrids. Previously, researchers have utilized techniques like fuzzy logic, ant colony, and genetic algorithms for static synchronous compensator (STATCOM) tuning to enhance microgrid stability during fault scenarios. This study uses the grasshopper optimization algorithm (GOA), particle swarm optimization (PSO), and a novel hybrid GOA‐PSO. On the main grid, the power system is subject to both symmetrical and asymmetrical faults. The proposed novel technique aims to improve LVRT, minimize generation loss during faults, and reduce after‐fault oscillations by optimizing reactive power flow between the point of common coupling and the microgrid while adhering to the LVRT grid code. MATLAB/Simulink is utilized to evaluate the LVRT performance of a 16 MW DFIG‐based microgrid operating in grid‐connected mode. The performance of the GOA‐PSO‐tuned STATCOM is evaluated by comparing it with conventional, PSO, and GOA‐tuned STATCOM in three fault scenarios. The comparison shows that GOA‐PSO‐tuned STATCOM improves grid stability and reliability.

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