Maximum Output Power Tracking Control in Variable-Speed Wind Turbine Systems Considering Rotor Inertial Power

Kim, Kyung-Hyun; Van, Tan Luong; Lee, Dong-Choon; Song, Seung-Ho; Kim, Eel-Hwan

doi:10.1109/tie.2012.2200210

Cited by 152 publications

(76 citation statements)

References 20 publications

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“…According to Equation (6), enhancing the efficiency may increase the fluctuations of the output power. To study the relationship between turbine inertia, power fluctuations and conversion efficiency, studies are carried out based on the MPPT strategy in [5], which is a flexible way to change conversion efficiency by tuning a single control parameter. The first case is to investigate the variation trend of power fluctuations as the conversion efficiency is getting higher under the same turbine inertia conditions.…”

Section: Analysis Of Wind Turbine Characteristicmentioning

confidence: 99%

“…The results in Figure 4 indicate that, to achieve the same conversion efficiency, a wind turbine with larger inertia would cause higher power fluctuations. The same MPPT strategy in [5] is used for these analyses. For different studies, only one control parameter is tuned respectively to regulate the conversion efficiency.…”

Section: Analysis Of Wind Turbine Characteristicmentioning

confidence: 99%

“…As shown in Figure 5, the left side in the grey area is the proposed method. The same MPPT strategy in [5] is used for these analyses. For different studies, only one control parameter is tuned respectively to regulate the conversion efficiency.…”

Section: Description Of the Proposed Frameworkmentioning

confidence: 99%

“…The control objectives in partial-load regime consist of achieving high wind energy conversion efficiency, smoothing output power, diminishing mechanical loads, riding through fault conditions, etc. In these objectives, efficiency potentiation and power smoothing have been studied in-depth separately [2,5,6]. However, on one hand, with the increase of turbine inertia, enhancing conversion efficiency leads to higher fluctuations of generator power.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind Turbines

et al. 2017

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Abstract:In wind turbine control, maximum power point tracking (MPPT) control is the main control mode for partial-load regimes. Efficiency potentiation of energy conversion and power smoothing are both two important control objectives in partial-load regime. However, on the one hand, low power fluctuation signifies inefficiency of energy conversion. On the other hand, enhancing efficiency may increase output power fluctuation as well. Thus the two objectives are contradictory and difficult to balance. This paper proposes a flexible MPPT control framework to improve the performance of both conversion efficiency and power smoothing, by adaptively compensating the torque reference value. The compensation was determined by a proposed model predictive control (MPC) method with dynamic weights in the cost function, which improved control performance. The computational burden of the MPC solver was reduced by transforming the cost function representation. Theoretical analysis proved the good stability and robustness. Simulation results showed that the proposed method not only kept efficiency at a high level, but also reduced power fluctuations as much as possible. Therefore, the proposed method could improve wind farm profits and power grid reliability.

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Section: Analysis Of Wind Turbine Characteristicmentioning

confidence: 99%

Section: Analysis Of Wind Turbine Characteristicmentioning

confidence: 99%

Section: Description Of the Proposed Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind Turbines

et al. 2017

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“…Subsequently, modeling for the variable speed wind turbine started in the 2000s [3]. In order to extract the optimal power for a wind turbine, torque control was developed, which is also known as region 2 control strategies [4][5][6]. For region 3 control, pitch control is activated to maintain the maximum output power.…”

Section: Introductionmentioning

confidence: 99%

A Novel Pitch Control System of a Large Wind Turbine Using Two-Degree-of-Freedom Motion Control with Feedback Linearization Control

Wang

Chiang

2016

Energies

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Pitch Control plays a significant role for a large wind turbine. This study investigates a novel robust hydraulic pitch control system of a large wind turbine. The novel hydraulic pitch control system is driven by a novel high efficiency and high response hydraulic servo system. The pitch controller, designed by two degree-of-freedom (2-DOF) motion control with feedback linearization, is developed to enhance the controllability and stability of the pitch control system. Furthermore, the full-scale testbed of the hydraulic pitch control system of a large wind turbine is developed for practically experimental verification. Besides, the wind turbine simulation software FAST is used to analyze the motion of the blade which results are given to the testbed as the disturbance load command. The 2-DOF pitch controller contains a feedforward controller with feedback linearization theory to overcome the nonlinearities of the system and a feedback controller to improve the system robustness for achieving the disturbance rejection. Consequently, the novel hydraulic pitch control system shows excellent path tracking performance in the experiments. Moreover, the robustness test with a simulated disturbance load generated by FAST is performed to validate the reliability of the proposed pitch control system.

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Study of robust adaptive step‐sizes P&O MPPT algorithm for high‐inertia WT with direct‐driven multiphase PMSG

Mousa

Youssef

Mohamed

2019

Int Trans Electr Energ Syst

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Summary In this study, an efficient robust adaptive perturb and observe (RA‐PO) maximum power point tracking (MPPT) algorithm–based wind energy conversion system (WECS) is suggested to avoid drawbacks of conventional P&O (CPO) algorithms. It depends on observing the distance between the actual and optimal rotor speed, calculating the required adaptive ratio at each operating point, perturbing the rotor speed with an appropriate step‐size, and observing power variations until the P‐ω curve slope equals zero. Therefore, it exhibits a rapid speed tracking with low oscillations. Moreover, it offers a well‐defined relationship among the extracted mechanical power, the rotor speed, the perturbing step‐size, and the operating wind speed so wrong direction and loss of tracking problems can be avoided on high‐inertia wind turbine (WT) during rapid wind speed fluctuations. It improves the WECS efficiency from 87% to 91%. The performance of WECS is confirmed via MATLAB/SIMULINK.

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Maximum Output Power Tracking Control in Variable-Speed Wind Turbine Systems Considering Rotor Inertial Power

Cited by 152 publications

References 20 publications

A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind Turbines

A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind Turbines

A Novel Pitch Control System of a Large Wind Turbine Using Two-Degree-of-Freedom Motion Control with Feedback Linearization Control

Study of robust adaptive step‐sizes P&O MPPT algorithm for high‐inertia WT with direct‐driven multiphase PMSG

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