Control Strategies for Enhancing Frequency Stability by DFIGs in a Power System with High Percentage of Wind Power Penetration

Golkhandan, Reza Kazemi; Aghaebrahimi, M. R.; Farshad, Mohsen

doi:10.3390/app7111140

Cited by 13 publications

(11 citation statements)

References 23 publications

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“…As described in assumption 1, the Park transformation is applied to decouple the stator phases and rotor phases. In the d-q frame, the dynamic equation of the DFIG system with constant coefficients is [19,20]:…”

Section: Electromagnetic Dynamics Of the Dfig Systemmentioning

confidence: 99%

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Nonlinear Maximum Power Point Tracking Control Method for Wind Turbines Considering Dynamics

Zheng

Bai

et al. 2020

Applied Sciences

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A combined strategy of torque error feed-forward control and blade-pitch angle servo control is proposed to improve the dynamic power capture for wind turbine maximum power point tracking (MPPT). Aerodynamic torque is estimated using the unscented Kalman filter (UKF). Wind speed and tip speed ratio (TSR) are estimated using the Newton–Raphson method. The error between the estimated aerodynamic torque and the steady optimal torque is used as the feed-forward signal to control the generator torque. The gain parameters in the feed-forward path are nonlinearly regulated by the estimated generator speed. The estimated TSR is used as the reference signal for the optimal blade-pitch angle regulation at non-optimal TSR working points, which can improve the wind power capture for a wider non-optimal TSR range. The Fatigue, Aerodynamics, Structures, and Turbulence (FAST) code is used to simulate the aerodynamics and mechanical aspects of wind turbines while MATLAB/SIMULINK is used to simulate the doubly-fed induction generator (DFIG) system. The example of a 5 MW wind turbine model reveals that the new method is able to improve the dynamic response of wind turbine MPPT and wind power capture.

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Section: Electromagnetic Dynamics Of the Dfig Systemmentioning

confidence: 99%

“…where L s , L r , and L m represent the self-inductance of the equivalent stator winding, the self-inductance of the equivalent rotor winding, and mutual inductance between the equivalent stator winding and the equivalent rotor winding, respectively. The electromagnetic torque of the DIFG system is [19,20]:…”

Section: Electromagnetic Dynamics Of the Dfig Systemmentioning

confidence: 99%

Nonlinear Maximum Power Point Tracking Control Method for Wind Turbines Considering Dynamics

Zheng

Bai

et al. 2020

Applied Sciences

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“…Contribution of wind farms in ancillary services of power system are investigated in Reference [7]. In this regard, wind farms can contribute to voltage and reactive power control [8,9], frequency stability and control [10][11][12], power system stability enhancement [13,14], harmonic mitigation [15], oscillation damping [16] etc. Since frequency control is directly related to active power control, and active output power of wind farms has intermittent characteristic, due to wind uncertainty; this aspect of grid ancillary capability (frequency control) for wind farms has more significance from the viewpoint of the power system.…”

Section: Introductionmentioning

confidence: 99%

On the Contribution of Wind Farms in Automatic Generation Control: Review and New Control Approach

et al. 2018

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Wind farms can contribute to ancillary services to the power system, by advancing and adopting new control techniques in existing, and also in new, wind turbine generator systems. One of the most important aspects of ancillary service related to wind farms is frequency regulation, which is partitioned into inertial response, primary control, and supplementary control or automatic generation control (AGC). The contribution of wind farms for the first two is well addressed in literature; however, the AGC and its associated controls require more attention. In this paper, in the first step, the contribution of wind farms in supplementary/load frequency control of AGC is overviewed. As second step, a fractional order proportional-integral-differential (FOPID) controller is proposed to control the governor speed of wind turbine to contribute to the AGC. The performance of FOPID controller is compared with classic proportional-integral-differential (PID) controller, to demonstrate the efficacy of the proposed control method in the frequency regulation of a two-area power system. Furthermore, the effect of penetration level of wind farms on the load frequency control is analyzed.

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“…The development and application of wind resources have become the world's strategic choice to solve environmental pollution, address the energy crisis, and obtain clean and cost-effective electric energy [1][2][3][4][5]. Wind power is one of the most promising sustainable energy sources, and has been rapidly developing in recent years [6].…”

Section: Introductionmentioning

confidence: 99%

Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China

et al. 2018

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Sustainable energy development has gained worldwide attention, in part thanks to the wind power industry value chain that focuses on overall value creation and innovation, especially in China. This paper aims to construct a wind power industry value chain model and comprehensively analyze factors that have significant influences on it using a modified diamond model, which has remained nebulous. Focused on the value-adding effect of constructed value chains, we offer key ideas from different angles. A factor condition lays the foundation of the value chain, and shows that China is experiencing energy structure adjustment in which wind power will play a key role; its resource potential is huge, but with mismatched distribution. Demand conditions reveal an increasing demand for wind but serious wind rejection as well; this is where the value-adding probability exists. Related and support departments collaborate to determine the overall value creation process. Firm strategy, structure, and rivalry are terms that describe possible value-adding subjects considering the wind industry as a whole. Government and opportunity provide robust prices and non-price policies to support value integration, and Technology is an effective factor in cost reduction and value creation as a high value-adding sector. Furthermore, a comparison of wind power industry value chains in China and Japan is conducted. Our findings underscore that a gap exists between actual performance and the expected wind power industry value chain, and corresponding measurements to promote the performance are discussed, including encouraging diversified business models, enhancing R&D and independent innovation, professional cultivation, effectively reducing wind rejection rate, and the full range of government support.

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Control Strategies for Enhancing Frequency Stability by DFIGs in a Power System with High Percentage of Wind Power Penetration

Cited by 13 publications

References 23 publications

Nonlinear Maximum Power Point Tracking Control Method for Wind Turbines Considering Dynamics

Nonlinear Maximum Power Point Tracking Control Method for Wind Turbines Considering Dynamics

On the Contribution of Wind Farms in Automatic Generation Control: Review and New Control Approach

Overview of Wind Power Industry Value Chain Using Diamond Model: A Case Study from China

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