Pitch angle controllers design for a horizontal axis wind turbine

Vega, David Cortes; Anzurez-Marin, J.; Sánchez, Roberto Tapia

doi:10.1109/ropec.2015.7395118

Cited by 10 publications

(10 citation statements)

References 9 publications

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“…This control model is shown in Figure 7. The control model used in [49] includes a proportional integral (PI) controller and an FLC. A correlation factor, defined by the error and the error derivative, assigns the weight that each controller will have, if the error is small, it will give more weight to the controller PI to maintain stability, if the error is large, it will give more weight to the FLC to obtain a faster control response.…”

Section: Results: Mppt Techniques Reviewmentioning

confidence: 99%

“…This control model is shown in Figure 8. In [50] a model similar to [49] is used, however the author adds a feed-forward FLC to adjust the angle of blade when there are gusts of wind. With the same control logic, other authors [40][41][42][43] change the inputs variable and they use generator shaft speed error (eω) and the error difference ∆(eω); and in [44,45] they use torque error (eτ) and the error difference ∆(eτ).…”

Section: Results: Mppt Techniques Reviewmentioning

confidence: 99%

“…This control model is shown in Figure 8. In [50] a model similar to [49] is used, however the author adds a feed-forward FLC to adjust the angle of blade when there are gusts of wind. .…”

Section: Results: Mppt Techniques Reviewmentioning

confidence: 99%

“…Different types of controllers where the control method is selected according to the needs of the system, the controller selection depends on a different controller[49].…”

mentioning

confidence: 99%

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Expert Control Systems for Maximum Power Point Tracking in a Wind Turbine with PMSG: State of the Art

et al. 2019

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Wind power is a renewable energy source that has been developed in recent years. Large turbines are increasingly seen. The advantage of generating electrical power in this way is that it can be connected to the grid, making it an economical and easily available source of energy. The fundamental problem of a wind turbine is the randomness in a wide range of wind speeds that determine the electrical energy generated, as well as abrupt changes in wind speed that make the system unstable and unsafe. A conventional control system based on a mathematical model is effective with moderate disturbances, but slow with very large oscillations such as those produced by turbulence. To solve this problem, expert control systems (ECS) are proposed, which are based on human experience and an adequate management of stored information of each of its variables, providing a way to determine solutions. This revision of recent years, mentions the expert systems developed to obtain the point of maximum power generation in a wind turbine with permanent magnet synchronous generator (PMSG) and, therefore, offers a control solution that adapts to the specifications of any wind turbine.

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Section: Results: Mppt Techniques Reviewmentioning

confidence: 99%

Section: Results: Mppt Techniques Reviewmentioning

confidence: 99%

“…This control model is shown in Figure 8. In [50] a model similar to [49] is used, however the author adds a feed-forward FLC to adjust the angle of blade when there are gusts of wind. .…”

Section: Results: Mppt Techniques Reviewmentioning

confidence: 99%

“…Different types of controllers where the control method is selected according to the needs of the system, the controller selection depends on a different controller[49].…”

mentioning

confidence: 99%

See 2 more Smart Citations

Expert Control Systems for Maximum Power Point Tracking in a Wind Turbine with PMSG: State of the Art

et al. 2019

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“…This controller helps to maintain the aerodynamic power at rated value when the wind speed exceeds the rated wind speed. In some reported works [4][5][6][7][8][9], different methods have been proposed to design the pitch angle controller for regulating the active power at rated value and improve the power quality with frequent wind speed changes. Beside this, pitch angle controller is also employed to stabilize the WES under transient disturbances or faults.…”

Section: Introductionmentioning

confidence: 99%

Performance improvement of a wind energy system using fuzzy logic based pitch angle control

Naik¹,

Gupta²,

Fernandez³

2018

Adv. sci. technol. eng. syst. j.

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The pitch angle controller maintains the aerodynamic captured power at rated level when the wind speed is above the rated speed. Besides, it can also improve the transient stability occurring in the wind energy system (WES). This paper, therefore, proposes an effective pitch angle control strategy that can deliver the conditioned output power in windy condition and increase the transient stability capability in grid faults. A fuzzy logic method has employed to design the proposed control strategy, Moreover, in this paper some major factors that affect the transient stability have been investigated by deriving steady-state equivalent model of the wind energy system. The simulated results show that the proposed fuzzy logic based pitch angle controller is effective at conditioning the output power and complying with fault ride through requirements for WES in the power system.

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Expert Control Systems Implemented in a Pitch Control of Wind Turbine: A Review

et al. 2019

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Wind energy is the strongest renewable energy source developed in recent decades. Being systems that are directly connected to the grid of the electrical system, it is essential to use the maximum available power of the wind and obtain the maximum electrical power converted from the turbine. In this paper, the fundamental problem of the wind turbine is how to obtain at all times the maximum output power of the turbine in a wide range of wind speed. The randomness of the wind adds an intrinsic difficulty to be able to plan the available wind energy in advance. To solve this problem, it is not necessary to know the dynamic operation of the system; we must anticipate the control response to each one of the different probable scenarios. An expert control system can be used based on human knowledge and experience, which, through proper management of its variables and adequate control of criteria to manipulate stored data, provides a way to determine solutions. In other words, it is a model of the experience of professionals in this field. The more variables in the system are considered, the more complete the model will be, and the more information will be available for decision-making, with a more efficient system and higher results in power generation as a response. For this reason, the objective of this paper is to present expert systems developed in recent years and, thus, offer a control solution that approximates the conditions of different wind turbines.INDEX TERMS Artificial neural network, fuzzy logic, genetic algorithms, wind power generation, control systems.

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Pitch angle controllers design for a horizontal axis wind turbine

Cited by 10 publications

References 9 publications

Expert Control Systems for Maximum Power Point Tracking in a Wind Turbine with PMSG: State of the Art

Expert Control Systems for Maximum Power Point Tracking in a Wind Turbine with PMSG: State of the Art

Performance improvement of a wind energy system using fuzzy logic based pitch angle control

Expert Control Systems Implemented in a Pitch Control of Wind Turbine: A Review

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