Adaptive Frequency Droop Feedback Control-Based Power Tracking Operation of a DFIG for Temporary Frequency Regulation

Yang, Dejian; Wang, Xin Wei; Chen, Wei; Yan, Gangfeng; Jin, Zhaoyang; Jin, Enshu; Zheng, Taiying

doi:10.1109/tpwrs.2023.3277009

Cited by 20 publications

(4 citation statements)

References 24 publications

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“…With the integration of large-scale power electronic systems, the inertia of the power system is gradually decreasing, thereby affecting the stable operation of the power system. Therefore, to address this issue, the control inverter is modified and provides the damping and inertia support to the grid (Li et al, 2023;Yang et al, 2023). The rotor equation of the VSG strategy is the same as Eq.…”

Section: Figurementioning

confidence: 99%

Improved VSG strategy of grid-forming inverters for supporting inertia and damping

Liu,

Jiang,

et al. 2024

Front. Energy Res.

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A virtual synchronous generator (VSG) strategy can introduce the rotational inertia and damping characteristics of the synchronous generator to the static inverter, e.g., PV, wind generation, and ESS, which are used to enhance the system frequency support characteristics of the micro-grid. However, under various operations of the VSG, the inertia and damping support capabilities are different, and the conventional VSG strategy with a fixed control coefficient sacrifices a certain degree of dynamic regulation performance with less robustness. This research proposes an improved VSG strategy with adaptive inertia and damping coefficients to increase the flexibility of VSG. To this end, a mathematical model is first established to analyze the impact of various parameters on the characteristics of VSG, and then the root trajectory is used to explore the impacts of various rotational inertia and damping coefficients on the stability of the VSG system. Second, an improved control strategy with adaptive inertia and damping coefficients is proposed based on the characteristics of the second-order system and the system frequency deviations. Finally, a simulation system with the VSG is constructed based on MATLAB/Simulink. The effectiveness of the proposed control strategy is verified by comparing the simulation results to the conventional control strategy with the fixed control coefficients under over-frequency and under-frequency disturbances.

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Section: Figurementioning

confidence: 99%

Improved VSG strategy of grid-forming inverters for supporting inertia and damping

Liu,

Jiang,

et al. 2024

Front. Energy Res.

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“…Wind turbine units participate in frequency regulation primarily by utilizing additional power injection. The frequency response control of these wind turbines, which relies on the inertia of their rotors, involves rapidly releasing rotor kinetic energy to provide brief frequency support (Attya and Hartkopf, 2013;Yang et al, 2023). However, this approach can lead to a SFD issue when wind turbine units reduce rotor speed while releasing energy to support the frequency.…”

Section: Introductionmentioning

confidence: 99%

Cooperative control of the DC-link voltage in VSC-MTDC grid via virtual synchronous generators

Han,

Li,

2024

Front. Energy Res.

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Introduction: Virtual Synchronous Generators (VSGs) are used in Voltage Source Converter-based Multi-Terminal High-Voltage Direct Current (VSC-MTDC) systems to enhance power system stability. However, the MTDC framework can lead to instability due to reduced inertia in certain grid areas, especially during load switching at VSC stations. This instability is exacerbated by untimely adjustments of the VSG's power setpoint, leading to voltage and frequency oscillations.Methods: This study introduces a cooperative control approach for the DC voltage of the VSG, employing a consensus algorithm and Model Predictive Control (MPC). This method aims to achieve incremental power for the VSG and provide interactive power commands for both the grid side and the wind farm side. The consensus algorithm ensures coherent system adjustments, while the MPC algorithm tracks DC-side voltage changes in real time.Results: The application of this cooperative control approach significantly enhances DC voltage regulation performance. It effectively reduces the extent of frequency drops and mitigates secondary frequency drop (SFD) issues, particularly those arising from the use of wind farms for frequency regulation and the associated speed recovery in wind turbine units.Discussion: The increase in supplemental power effectively utilizes the energy stored in DC-side capacitors for power balance regulation and introduces additional inertial power into the system. Electromagnetic transient simulations have confirmed the effectiveness of the Consensus MPC-VSG method, demonstrating its ability to optimize the dynamic performance of VSC-MTDC systems and promote stability in DC voltage and frequency.Conclusion: The findings suggest that employing the Consensus MPC-VSG method offers a promising solution for enhancing the stability and operational efficiency of VSC-MTDC systems, addressing the challenges posed by the inherent segmentation of the grid and the integration of renewable energy sources like wind farms.

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“…With the rapid growth of the wind power industry, DFIGs are gradually replacing traditional synchronous generators (TSGs) and connecting to the power grid, leading to an evolution of the power grid structure [1]. However, under this new power grid structure, DFIGs cannot achieve instant matching with frequency due to their special structure, and therefore cannot actively adapt to changes in frequency, which affects the overall inertia and frequency response ability of the grid [2,3]. Especially in high-wind-penetrated grids, DFIGs may be more prone to triggering frequency load shedding protection, posing a threat to the safe and stable operation of the power grid [4].…”

Section: Introductionmentioning

confidence: 99%

Variable Power Tracking Control Strategy of Doubly Fed Induction Generators for Fast Frequency Responses

Xue,

Huang,

Sang

2024

Electronics

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Frequency regulation and droop control of doubly fed induction generators (DFIGs) can quickly respond to frequency changes and reduce the maximum rate of frequency (MROFF) in power systems. However, due to real-time dynamic changes in the MPPT control loop, the ability to improve the lowest frequency point is limited. Therefore, this article first describes an in-depth analysis of the dynamic characteristics of the incremental power of frequency regulation with droop control using an equivalent linear model. The limitations of improving the lowest frequency point under the influence of dynamic changes in the MPPT control loop are revealed. Secondly, to address the impact of these dynamics, an improved decoupling frequency regulation (IDFR) strategy based on power tracking is proposed, aiming to increase the maximum frequency deviation (MFD) and MROCOF. Then, in order to overcome the difficulty of adjusting control coefficients in the IDFR strategy, an adaptive control coefficient tuning fuzzy control method based on frequency deviation and ROCOF was proposed to flexibly adjust control requirements under various working conditions, thereby improving the control stability and performance of the system and effectively solving the problem of control coefficient allocation. Finally, to verify the frequency regulation performance of the proposed IDFR strategy under various operating conditions, simulations were conducted based on different disturbances and wind conditions. The results show that the proposed IDFR strategy significantly improves the system MFD and MROCOF improvement ability under various conditions.

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Adaptive Frequency Droop Feedback Control-Based Power Tracking Operation of a DFIG for Temporary Frequency Regulation

Cited by 20 publications

References 24 publications

Improved VSG strategy of grid-forming inverters for supporting inertia and damping

Improved VSG strategy of grid-forming inverters for supporting inertia and damping

Cooperative control of the DC-link voltage in VSC-MTDC grid via virtual synchronous generators

Variable Power Tracking Control Strategy of Doubly Fed Induction Generators for Fast Frequency Responses

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