Droop Control Using Impedance of Grid-Integrated DFIG within Microgrid

Han, Yongsu; Ha, Jung‐Ik

doi:10.1109/tec.2018.2861819

Cited by 21 publications

(12 citation statements)

References 30 publications

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“…An effective strategy for wind turbines to respond to frequency variations, and also help to control the frequency of microgrid operation, is to use complementary control loops such as droop within the DFIG converters [8][9][10][11][12][13][14][15][16]. Another suitable strategy to assist in frequency control is adding active power from battery energy storage system (BESS) that allows wind systems to become more efficient in high wind conditions or in low power demand situations by storing surplus energy [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…In [9], a control loop is added in DFIG to give frequency support when the system is disconnected from the main network and thus improve the dynamic behavior of the microgrid. In [10], the conventional droop control concept of the synchronous generators is implemented to adjust the output impedance of the DFIG through the indirect stator flux orientation (ISFO) based in droop control so that stable operation as well as the precise distribution of reactive power are guaranteed. In [11], the small signal stability analysis is used to determine the stable regions of a DFIG with additional droop control under various wind speeds in an isolated system.…”

Section: Introductionmentioning

confidence: 99%

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Combined Control of DFIG-Based Wind Turbine and Battery Energy Storage System for Frequency Response in Microgrids

et al. 2020

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This paper presents a novel methodology for frequency control of a microgrid through doubly fed induction generator (DFIG) employing battery energy storage system (BESS) and droop control. The proposed microgrid frequency control is the result of the active power injection from the droop control implemented in the grid side converter (GSC) of the DFIG, and the BESS implemented in the DC link of the back-to-back converter also in the DFIG. This methodology guarantees the battery system charge during operation of the connected DFIG in the network, and the frequency control in microgrid operation after an intentional disturbance. In order for the DFIG to provide frequency support to the microgrid, the best-performing droop gain value is selected. Afterwards its performance is evaluated individually and together with the power injected by the battery. The power used for both battery charging and frequency support is managed and processed by the GSC without affecting the normal operation of the wind system. The simulation tests are performed using Matlab/Simulink toolbox.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Combined Control of DFIG-Based Wind Turbine and Battery Energy Storage System for Frequency Response in Microgrids

et al. 2020

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“…Research studies such as [5]- [8] use deloading to move the wind turbine from the maximum power point (MPP) extraction to ensure a stored power margin. Other studies such as [9]- [16] use the kinetic energy contained in the DFIG rotational masses, through inertia control or droop control, to inject an extra power. However, they all have three facts in common.…”

Section: Introductionmentioning

confidence: 99%

Primary Frequency Response of Microgrid Using Doubly Fed Induction Generator With Finite Control Set Model Predictive Control Plus Droop Control and Storage System

et al. 2020

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This paper presents a new methodology for primary frequency response (PFR) in a microgrid through the finite control set-model predictive control (FCS-MPC) plus droop control applied to the grid side converter (GSC) of a doubly fed induction generator (DFIG). In this configuration, the rotor side converter (RSC) is responsible for maintaining wind turbine operation at the maximum power point (MPP) extraction, even at the time of a disturbance, while the GSC is responsible for processing the power required to reestablish the microgrid frequency at its rated value. The power required for frequency control comes from a battery energy storage system (BESS) connected to the DC-link, and its value is selected via the FSC-MPC by continuously adjusting the droop gain value. This control configuration has considerable benefits such as continuous operation at the MPP extraction, injection of power proportional to the frequency imbalance, the capability to impose restrictions through the control and it does not use any type of communication between the storage system and the control. Through the FCS-MPC, the gain of the droop controller is selected, which maximizes the power needed to control the frequency of the microgrid. To verify the performance of the proposed control strategy, simulations are performed for an unexpected islanding of the microgrid under different wind speed scenarios. The results show that the DFIG equipped with the proposed control strategy is able to provide ancillary services such as PFR in all DFIG operating modes.

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“…if the potential capacity margin of DFIG can be exploited to participate in the frequency and active power regulation of the system, it is of great significance to improve the safe and stable operation of modern power grid with numerous power electronic interfaces [9]. What's more, most DFIGs use the maximum power point tracking (MPPT) operation mode to maximize the economic benefits [10]- [12], while few DFIGs can provide inertia and damping support [13]. Therefore, with the gradual increase of wind power penetration, the stability of power system will face a severe situation.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Adaptive Robust Control Strategy of Doubly Fed Induction Generator Based on Virtual Synchronous Generator

2020

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Doubly fed induction generator (DFIG) may suffer from huge disturbance owing to the uncertainty of generator parameters and load fluctuation during operation process. Hence, in the context of virtual synchronous generator (VSG) technology and its power-frequency control characteristics, this paper presents a VSG-based nonlinear adaptive robust controller (NARC), aiming to enhance the comprehensive regulation performance of DFIG. Firstly, a nonlinear robust adaptive controller with disturbance rejection and uncertainty adaptive learning ability is designed by establishing an improved dynamic model of the rotor motion equation in VSG, so as to achieve the optimal regulation of DFIG with robustness and adaptability. Secondly, in order to realize the fast dynamic response and autonomous synchronization ability in DFIG, a modified control strategy of the grid side converter (GSC) in DFIG is constructed by voltage and current dual-loop control (DLC) and VSG, which not only retains the significant dynamic response ability of the current inner-loop in DLC, but also improves the inertia and damping of the system. Finally, simulation results indicate that the modified control strategy exhibits satisfied dynamic performance and reliability, and reveals the robustness and adaptability of the control strategy in response to external random interferences and internal uncertain parameters. INDEX TERMS Doubly fed induction generator, virtual synchronous generator, nonlinear adaptive robust control, voltage and current dual-loop control.

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Droop Control Using Impedance of Grid-Integrated DFIG within Microgrid

Cited by 21 publications

References 30 publications

Combined Control of DFIG-Based Wind Turbine and Battery Energy Storage System for Frequency Response in Microgrids

Combined Control of DFIG-Based Wind Turbine and Battery Energy Storage System for Frequency Response in Microgrids

Primary Frequency Response of Microgrid Using Doubly Fed Induction Generator With Finite Control Set Model Predictive Control Plus Droop Control and Storage System

Nonlinear Adaptive Robust Control Strategy of Doubly Fed Induction Generator Based on Virtual Synchronous Generator

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