Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage

Yuan, Tao; Wang, Jinjun; Guan, Y J; Lei, Zheng; Song, Xiaojing; Che, Yong; Cao, Wenping

doi:10.3390/en11040904

Cited by 14 publications

(13 citation statements)

References 36 publications

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“…It also provides a new idea for coordinating the DFIG and energy storage to participate in frequency regulation. In [18][19][20][21][22][23][24], energy storages and rotor kinetic energy were coordinated as the inertial source to improve the frequency dynamic response capability of DFIG. As for the selection of energy storage, a supercapacitor [18][19][20], battery [21][22][23], and hydrogen energy storage [24] can all be used as inertia sources to coordinate with the DFIG.…”

Section: Introductionmentioning

confidence: 99%

“…As for the selection of energy storage, a supercapacitor [18][19][20], battery [21][22][23], and hydrogen energy storage [24] can all be used as inertia sources to coordinate with the DFIG. In terms of the coordination control strategy, [19] adopted the fuzzy logic controller to realize the inertia response of the DFIG under variable wind speeds; [20] used cascading control strategy to coordinate the rotor kinetic energy and battery, thus achieving the short-time inertia support of the DFIG under full wind speed; [21] explored the inertial response capability of a battery-embedded DFIG and used it to provide power support in synchronous, supersynchronous, and subsynchronous operations; [22] utilized an adaptive fuzzy control to achieve the inertia support of the DFIG under full wind speed; and [24] adopted a torque limit strategy to control rotor kinetic energy and participate in frequency regulation, and utilized a battery to solve the secondary frequency drop caused by the torque limit control. Although the above studies [18][19][20][21][22][23][24] all improved the DFIG inertia support capacity in a short-time, none of them studied the application of an energy storage device in long-term power support and primary frequency regulation.…”

Section: Introductionmentioning

confidence: 99%

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Inertia and Droop Frequency Control Strategy of Doubly-Fed Induction Generator Based on Rotor Kinetic Energy and Supercapacitor

Yan

Sun

2020

Energies

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The large-scale application of wind power eases the shortage of conventional energy, but it also brings great hidden danger to the stability and security of the power grid because wind power has no ability for frequency regulation. When doubly-fed induction generator (DFIG) based wind turbines use rotor kinetic energy to participate in frequency regulation, it can effectively respond to frequency fluctuation, but has the problems of secondary frequency drop and output power loss. Furthermore, it cannot provide long-term power support. To solve these problems, a coordinated frequency control strategy based on rotor kinetic energy and supercapacitor was proposed in this paper. In order to ensure the DFIG provides fast and long-term power support, a supercapacitor was used to realize the droop characteristic, and rotor kinetic energy was used to realize the inertia characteristic like synchronous generator (SG). Additionally, the supercapacitor is also controlled to compensate for the power dip of the DFIG when rotor kinetic energy exits inertia support to avoid secondary frequency drop. Additionally, a new tracking curve of DFIG rotor speed and output power was adopted to reduce the power loss during rotor speed recovery.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Inertia and Droop Frequency Control Strategy of Doubly-Fed Induction Generator Based on Rotor Kinetic Energy and Supercapacitor

Yan

Sun

2020

Energies

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“…DFIG control is one of the most difficult issues in a wind turbine system because DFIG dynamics is intrinsically nonlinear and high-dimensional; system model parameters are uncertain; and the encountered wind speed is random [5,6]. Currently, the main control techniques for DFIG in industrial application are vector control (VC) and direct power control (DPC) [7].…”

Section: Introductionmentioning

confidence: 99%

Adaptive-Gain Second-Order Sliding Mode Direct Power Control for Wind-Turbine-Driven DFIG under Balanced and Unbalanced Grid Voltage

Han

2019

Energies

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In a wind turbine system, a doubly-fed induction generator (DFIG), with nonlinear and high-dimensional dynamics, is generally subjected to unbalanced grid voltage and unknown uncertainty. This paper proposes a novel adaptive-gain second-order sliding mode direct power control (AGSOSM-DPC) strategy for a wind-turbine-driven DFIG, valid for both balanced and unbalanced grid voltage. The AGSOSM-DPC control scheme is presented in detail to restrain rotor voltage chattering and deal with the scenario of unknown uncertainty upper bound. Stator current harmonics and electromagnetic torque ripples can be simultaneously restrained without phase-locked loop (PLL) and phase sequence decomposition using new active power expression. Adaptive control gains are deduced based on the Lyapunov stability method. Comparative simulations under three DPC schemes are executed on a 2-MW DFIG under both balanced and unbalanced grid voltage. The proposed strategy achieved active and reactive power regulation under a two-phase stationary reference frame for both balanced and unbalanced grid voltage. An uncertainty upper bound is not needed in advance, and the sliding mode control chattering is greatly restrained. The simulation results verify the effectiveness, robustness, and superiority of the AGSOSM-DPC strategy.

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“…The globally installed wind power capacity has reached up to 539 GW since 2017 [2], which significantly reduces the dependency on fossil energy and greenhouse gas emissions. Among the current wind power technology, the doubly-fed induction generator (DFIG) based wind power generation system presents obvious dominance with high energy transfer efficiency, flexible grid connection, and power decoupling control [3][4][5]. Nevertheless, the power system with high wind energy penetration experiences significant transitions in dynamic and transient characteristics [6].…”

Section: Introductionmentioning

confidence: 99%

Inertia Provision and Small Signal Stability Analysis of a Wind-Power Generation System Using Phase-Locked Synchronized Equation

Wang

Yuan

2019

Sustainability

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The inertia and damping of the modern power system are consistently decreased when wind energy has a high penetration level into the grid. This paper proposes a novel solution through transforming the wind turbine generator into an equivalent motion equation mimicking the basic characteristics of the synchronous generator (SG). This synchronized equation builds upon the phase-locked loop (PLL) model of the doubly-fed induction generator (DFIG), which characterizes the inertia constant, damping coefficient, and synchronizing torque. Thanks to this work, the dynamic performance of the inverter-based asynchronous generator could be analyzed from the perspective of the classical rotor motion equation. It further enables us to employ the analogy method to provide the DFIG with automated frequency response ability and to estimate the inertia constant quantitatively. Results also manifest that based on the synchronized equation, the PLL forms a power system stabilizer to enhance the power system oscillation. Hence, parameters tuning in PLL for coordinating inertia provision and damping enhancement are introduced. The contribution of this study lies in that the equivalent synchronized equation is established to optimize the system operation without alterations in the existing control structure of the DFIG. The theoretical analysis and the strategy are verified through the power system simulator.

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Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage

Cited by 14 publications

References 36 publications

Inertia and Droop Frequency Control Strategy of Doubly-Fed Induction Generator Based on Rotor Kinetic Energy and Supercapacitor

Inertia and Droop Frequency Control Strategy of Doubly-Fed Induction Generator Based on Rotor Kinetic Energy and Supercapacitor

Adaptive-Gain Second-Order Sliding Mode Direct Power Control for Wind-Turbine-Driven DFIG under Balanced and Unbalanced Grid Voltage

Inertia Provision and Small Signal Stability Analysis of a Wind-Power Generation System Using Phase-Locked Synchronized Equation

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