General average model of D-PMSG and its application with virtual inertia control

Xu, Li; Wang, Gang; Fu, Lijun; Wu, You; Shi, Qiaoming

doi:10.1109/icma.2015.7237588

Cited by 10 publications

(6 citation statements)

References 6 publications

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“…The control part is identical to that of the previous models. Depending on the characteristics of the electric machine used, an average model of the electric machine with its converter can be made [13] or obtained after having characterized its behavior over a nominal speed range of the SCP system.…”

Section: Simulink Average Modeling (Sam)mentioning

confidence: 99%

Shrouded Tidal Stream Turbine Simulation Model Development and Experimental Validation

Flambard

Benbouzid

Feld

et al. 2020

IECON 2020 the 46th Annual Conference of the IEEE Industrial Electronics Society

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This paper presents the modeling steps of a shrouded tidal stream turbine. The main goal of this modeling is to allow the behavior simulation of the converter in order to anticipate its operation under specific conditions and its later development. The observation time scale of the operation system may extend from tidal period (several hours) to converter switching period (milliseconds to microseconds). An assessment of different modeling methodology, based on instantaneous and average models, is carried out. Instantaneous modeling offers the possibility to observe system electrical dynamics, which are driven by power switches, at the expense of an important computational time. In that respect, an average modeling is considered for greater period-scale analyses. So as to reduce the computational time induced by the power electronic modeling, cosimulations between Simulink and PSIM are also established. Simulation results are furthermore compared with some experimental data of an industrial shrouded tidal stream turbine prototype immersed and tested in real off-grid condition. The results and differences observed are sufficiently relevant to consider these models as references for further development.

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Section: Simulink Average Modeling (Sam)mentioning

confidence: 99%

Shrouded Tidal Stream Turbine Simulation Model Development and Experimental Validation

Flambard

Benbouzid

Feld

et al. 2020

IECON 2020 the 46th Annual Conference of the IEEE Industrial Electronics Society

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“…Similar to the virtual inertial methods, these controllers can only work for short-term frequency response. With regard to the long-term frequency response, [18][19][20][21] propose secondary frequency control strategies by using the mechanical power reserve obtained from blade pitch angle control. However, this control is implemented merely on the mechanical parts of the WT, which is inflexible and may cause wear-and-tear issues.…”

Section: Literature Review and Problem Identificationmentioning

confidence: 99%

“…That means the electrical power output P e is directly equal to the power command from the wind power controller P wind . The derivation of captured mechanical power from the WT (ΔP m ) with respect to the variation of rotor speed can be obtained by linearising (1) as: (see (21)) . Furthermore, for the FRM of DFIG-based WT, the variation of wind speed can be easily modelled by adding the linearised wind power disturbance (ΔP v ) to the captured mechanical power as:…”

Section: Rotor Speed Responsementioning

confidence: 99%

“…It is clear that for a WT operating at MPPT, there is no power reserve available. As already mentioned, the blade pitch angle control requires the external mechanical functioning, which is inflexible and may cause wear‐and‐tear problems [21]. Thus, this paper uses the rotor speed control to obtain power reserve.…”

Section: Deloading Operation Of Dfig‐based Wtsmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid control of DFIGs for short‐term and long‐term frequency regulation support in power systems

Liao

Xu²,

Wang

et al. 2019

IET Renewable Power Generation

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This paper proposes a new hybrid frequency control strategy for doubly fed induction generator (DFIG)-based wind turbines (WTs) to simultaneously provide short-term and long-term frequency regulation support to the connected power system. The kinetic energy stored in the rotating mass and the mechanical power reserve of the WT are coordinately configured to participate in frequency recovery at both primary and secondary stages. A frequency response model (FRM) is also derived to analyse the mutual interactions between WTs and the power system. Based on the FRM, the impacts of relevant parameter variations on the overall system stability can be investigated through Nyquist criterion and modal analyses and the stable operation range of proposed strategy could be easily identified. Theoretical and numerical results have both verified the effectiveness of the proposed control strategy and its advantages over existing methods.

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“…In [107,108], the authors propose virtual inertia provision by adding a supplementary derivative control signal to the grid-side converter of type 4 (type D) wind turbines. The supplementary control signal changes the active power setpoint of the grid-side converter by adding an active power contribution which depends on the deviation of the system frequency.…”

Section: Virtual Inertiamentioning

confidence: 99%

Transient stability improvement: a review and comparison of conventional and renewable-based techniques for preventive and emergency control

et al. 2017

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General average model of D-PMSG and its application with virtual inertia control

Cited by 10 publications

References 6 publications

Shrouded Tidal Stream Turbine Simulation Model Development and Experimental Validation

Shrouded Tidal Stream Turbine Simulation Model Development and Experimental Validation

Hybrid control of DFIGs for short‐term and long‐term frequency regulation support in power systems

Transient stability improvement: a review and comparison of conventional and renewable-based techniques for preventive and emergency control

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