A decoupling control strategy for wind turbine blades equipped with active flow controllers

Macquart, Terence; Maheri, Alireza; Busawon, Krishna

doi:10.1002/we.2024

Cited by 6 publications

(3 citation statements)

References 33 publications

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“…A reduction of 2% was achieved in load effect in particular wind speed. In [15], a comparison is made between SISO and MIMO active flow control in a wind turbine. It is shown that in a wind turbine equipped with active flow control, a MIMO controller can be decomposed into simpler SISO controllers, which is highly efficient in load reduction.…”

Section: Introductionmentioning

confidence: 99%

Load mitigation of a class of 5-MW wind turbine with RBF neural network based fractional-order PID controller

et al. 2020

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Section: Introductionmentioning

confidence: 99%

Load mitigation of a class of 5-MW wind turbine with RBF neural network based fractional-order PID controller

et al. 2020

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“…13 In recent times, the genetic algorithm and particle swarm optimization (PSO) are widely used for the optimization of PID parameters. 14,15 Macquart et al 16 made a comparison between the single-input single-output (SISO) and the multiple-input multiple-output (MIMO) active control for the WT. The MIMO is much effective and efficient for that case.…”

Section: Introductionmentioning

confidence: 99%

Proposed particle swarm optimization technique for the wind turbine control system

Iqbal

Ying

Saleem

et al. 2020

Measurement and Control

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Wind energy is a useful and reliable energy source. Wind turbines are attracting attention with the dependency of the world on clean energy. The turbulent nature of wind profiles along with uncertainty in the modeling of wind turbines makes them more challenging for prolific power extraction. The pitch control angle is used for the effective operation of wind turbines at the above-nominal wind speed. To extract stable power as well as to keep wind turbines in a safe operating region, the pitch controller should be intelligent and highly efficient. For this purpose, proportional-integral-derivative controllers are mostly used. The parameters for the proportional-integral-derivative controller are unknown and calculated by numerous techniques, which is a quite cumbersome task. In this research, the particle swarm optimization technique is used but the conventional particle swarm optimization technique cannot tackle the system's nonlinearity and uncertainties. Hence, the proposed particle swarm optimization algorithm is employed for the calculation of the controller's optimal parameters. The proposed technique is implemented on a 5-MW wind turbine, which is designed using the Bladed software. Simulation is performed using MATLAB/Simulink to validate the effectiveness of the proposed technique. A variable wind profile is fed as input into the system and the proposed controller provides satisfactory results for the power, rotor speed, and torque. The system is stable and the settling time is reduced.

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“…The frequency must be within the required standards to ensure normal performance of the system [16,17]. In the case of wind power, variations can also be very harsh when forced shutdown and when wind levels are concentrated in certain wind farms [18] and the control of wind farms can improve these variations [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the reserve capacity in a grid supplied by intermittent energy sources

Choukri

Naddami

Hayani

2017

IET Renewable Power Generation

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Renewable energy (RnE) is a key element for the national energy strategies in the world especially for emerging and developing countries. Morocco, which has no conventional energy resources, depends almost entirely on the international primary energy market, to satisfy its growing demand inherent to its economic growth and its demographic progression, the country import the majority for its supply of energy sources. Morocco has implemented an important energy strategy that supports the country's transition to RnE and energy efficiency that generalises across all consumer sectors of the economy (housing, transport, industry). However, the integration of renewables into power systems and the development of adequate reserve capacity are seem to be significant for these strategies in particular in the wind power case. This study presents the impact of the smoothing effect on reserve capacity and energy savings available through the net balancing between different climate zones to achieve fuel cost savings and reduce CO 2 emissions.

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A decoupling control strategy for wind turbine blades equipped with active flow controllers

Cited by 6 publications

References 33 publications

Load mitigation of a class of 5-MW wind turbine with RBF neural network based fractional-order PID controller

Load mitigation of a class of 5-MW wind turbine with RBF neural network based fractional-order PID controller

Proposed particle swarm optimization technique for the wind turbine control system

Evaluation of the reserve capacity in a grid supplied by intermittent energy sources

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