Decoupling active power control scheme of doubly-fed induction generator for providing virtual inertial response

Yang, Dejian; Wang, Xin; Yan, Gangui; Jin, Enshu; Huang, Jiejie; Zheng, Taiying; Jin, Zhaoyang

doi:10.1016/j.ijepes.2023.109051

Cited by 13 publications

(9 citation statements)

References 23 publications

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“…With the increase in the grid-connected proportion of new energy, many papers have studied how new energy can provide frequency support in view of the low inertia characteristics of wind turbines, which lead to an insufficient frequency modulation capability of the system. In [10], by decoupling the active power control of wind power when a disturbance occurs, the kinetic energy of the wind turbine is released to participate in frequency modulation. Refs.…”

Section: Literature Reviewmentioning

confidence: 99%

Unit Combination Scheduling Method Considering System Frequency Dynamic Constraints under High Wind Power Share

Li,

Wang

2023

Sustainability

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Power systems with a high wind power share are characterized by low rotational inertia and weak frequency regulation, which can easily lead to frequency safety problems. Providing virtual inertia for large-scale wind turbines to participate in frequency regulation is a solution, but virtual inertia is related to wind power output prediction. Due to wind power prediction errors, the system inertia is reduced and there is even a risk of instability. In this regard, this article proposes a unit commitment model that takes into account the constraints of sharp changes in frequency caused by wind power prediction errors. First, the expressions of the equivalent inertia, adjustment coefficient, and other frequency influence parameters of the frequency aggregation model for a high proportion wind power system are derived, revealing the mechanism of the influence of wind power prediction power and synchronous machine start stop status on the frequency modulation characteristics of the system. Second, the time domain expression of the system frequency after the disturbance is calculated by the segment linearization method, and the linear expressions of “frequency drop speed and frequency nadir” constraints are derived to meet the demand of frequency regulation in each stage of the system. Finally, a two-stage robust optimization model based on a wind power fuzzy set is constructed by combining the effects of wind power errors on power fluctuation and frequency regulation capability. The proposed model is solved through affine decision rules to reduce its complexity. The simulation results show that the proposed model and method can effectively improve the frequency response characteristics and increase the operational reliability of high-share wind power systems.

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Section: Literature Reviewmentioning

confidence: 99%

Unit Combination Scheduling Method Considering System Frequency Dynamic Constraints under High Wind Power Share

Li,

Wang

2023

Sustainability

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“…Considering the constraint of the SOC, the maximum energy that can be released from the SES is quantified by (3). When the maximum value is reached during the frequency regulation, the SES is switched out from the DFIG-SES system and no longer participates in the frequency regulation.…”

Section: Frequency Regulation By Ses Implemented To Dfigmentioning

confidence: 99%

“…With the increasing penetration of wind power, the DFIG is required to be capable of participating in the frequency regulation of the power system [1]. In addition to the frequency regulation provided by the traditional synchronous generator (SG), the DFIG may help to improve the frequency stability of the power system through the virtual inertia control [2,3], the droop control [4], or the combination of the aforementioned two control schemes [5].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Frequency Regulation Capability of Doubly Fed Induction Generator and Supercapacitor Energy Storage Based on Dynamic Power Flow

Sun,

Shi,

Ren

et al. 2023

Energies

Self Cite

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The grid-integrated doubly fed induction generator (DFIG) is required to participate in the frequency regulation of the power system. The supercapacitor energy storage (SES) is capable of enhancing the frequency regulation capability of the DFIG in a coupled manner. The SES is connected to the DC capacitor of the DFIG and provides active power response through the droop control. The dynamic power flow (DPF) model is established to quantify the frequency response of the power system when the DFIG-SES system participates in the frequency regulation. The integration of the SES affects the internal power flow distribution of the DFIG; thus, the detailed model of the DFIG is incorporated into the DPF analysis. Considering the different response speeds of the synchronous generator (SG), the SES, and the DFIG to the frequency regulation, the first-order inertia delay in the governor control of the SG is included in the DPF model. The impact of the delay time constant on the continued operation time of the SES is analyzed. With the same deloading percentage, the output power of the DFIG is adjusted based on a variable droop coefficient scheme to fully utilize its active power reserve. The feasibility and effectiveness of the DFIG-SES scheme to participate in the frequency regulation are analyzed based on the DPF and verified through numerical analysis.

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“…Reference [27] applied power reserve control using variable coefficient rotor kinetic energy control, which can dynamically adjust real-time coefficients based on the inertial energy and reserve power of VSWTs. In addition to frequency-based inertial control, there exists another method called stepwise inertial control (SIC), which is capable of rapidly increasing the output power of VSWTs and maintaining the power reference for a predetermined curve at the early stage of frequency regulation [33][34][35][36][37]. Additionally, FLC is a widely utilized technique in wind power systems [38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Novel Fuzzy Logic Controls to Enhance Dynamic Frequency Control and Pitch Angle Regulation in Variable-Speed Wind Turbines

Phung,

Wu,

Pham

2024

Energies

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This study introduced a novel control approach based on fuzzy logic control (FLC) to enhance the frequency regulation capacity of variable-speed wind turbines (VSWTs). The proposed method integrates FLC within droop and inertia control loops. Real-time measurements of the system frequency and the rate of change of frequency (ROCOF) serve as inputs to the FLC, enabling the method to improve the frequency response by VSWTs. In addition, the method employs FLC for pitch angle frequency control, optimizing reserve power for frequency regulation under varying wind speed levels. The innovative aspect of this study lies in the simultaneous application of FLC to pitch angle frequency control and droop/inertia control, leading to the enhanced frequency regulation capability of VSWTs and smoother operation across a range of wind speeds. Compared with traditional methods, the proposed approach provides a comprehensive and effective solution to the challenges associated with frequency regulation in VSWTs. Through simulations across different wind speed scenarios, the proposed control method demonstrated the best performance among various mature methods, highlighting the efficacy of the proposed method on the frequency regulation of VSWTs under different wind speeds. This study’s findings highlight the potential of the proposed FLC-based method to optimize frequency regulation and contribute to more reliable and efficient wind energy systems.

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Decoupling active power control scheme of doubly-fed induction generator for providing virtual inertial response

Cited by 13 publications

References 23 publications

Unit Combination Scheduling Method Considering System Frequency Dynamic Constraints under High Wind Power Share

Unit Combination Scheduling Method Considering System Frequency Dynamic Constraints under High Wind Power Share

Analysis of Frequency Regulation Capability of Doubly Fed Induction Generator and Supercapacitor Energy Storage Based on Dynamic Power Flow

Novel Fuzzy Logic Controls to Enhance Dynamic Frequency Control and Pitch Angle Regulation in Variable-Speed Wind Turbines

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