Adaptive linear prediction for optimal control of wind turbines

Summary A novel approach for increasing the sustainability and reliability of energy conversion in a wind turbine (WT) system in the presence of uncertainties/disturbances and sensors fault is proposed. To this aim, an active robust fault tolerant model predictive controller (FT‐MPC) is designed for WTs under partial load condition by combining the advantages of the sliding mode observer (SMO) and MPC approaches. Since the WTs are subject to physical/constructive constraints, first, an online MPC is designed to guarantee all constraints satisfaction. Then, the consequences of sensors fault on the control system's performance are demonstrated. An efficient approach is proposed based on the SMO for estimating the sensors faults and the states simultaneously. The most significant contribution of the observer‐based FT‐MPC controller is that it is not only robust against uncertainties/disturbances but also using the proposed strategy the challenges of nonlinearity, constraints, and sensor faults can be effectively handled.

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“…In the following simulations, the nonlinear model of the WT presented in (14) is used, and its characteristics are given as…”

Section: Simulation Resultsmentioning

confidence: 99%

Wind turbines sustainable power generation subject to sensor faults: Observer‐based MPC approach

Ghanbarpour

Bayat

Jalilvand

2019

Int Trans Electr Energ Syst

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“…En la Figura 2 se muestra la distribución de los datos en forma gráfica. Parte del análisis gráfico asociado a los valores de variables es la detección de valores extraños o atípicos que se pueden realizar en el proceso de medición (Narayana, 2017). Generalmente los datos atípicos se encuentran entre 1-3% en experimentos no controlados y alrededor de un 5% en experimentos no controlados, una forma de detectar valores atípicos es gracias al empleo de rodigos@uisrael.edu.ec los diagramas de caja.…”

Section: Análisis Gráficounclassified

Evaluación del potencial eólico y predicción de la velocidad de viento con Minería de Datos

Guevara

2020

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El fujo del viento se ha visto afectado por factores como la rugosidad y la topografía del terreno que producen perturbaciones en su movimiento. La presencia de colinas puede generar, por un lado, aumento de velocidad en el viento hasta llegar a la cima, pero, a su vez, en la parte inferior aumenta la turbulencia produciendo efectos de recirculación. Este comportamiento no permite conocer en detalle el desarrollo de los perfles de velocidad y la energía cinética turbulenta del viento. En este sentido, por el gran interés en el estudio del fujo de aire en terrenos complejos, el presente proyecto tiene como objetivo la evaluación del recurso eólico en terrenos complejos, específcamente en un túnel de viento natural ubicado entre el nevado Chimborazo y Carihuairazo del Ecuador, además de la predicción de la velocidad para un nuevo horizonte de tiempo.

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“…Most works done in this field aim to maximise the energy captured from the wind and minimise the stress on the drive train shafts. In this way, the control strategy remains a key factor to optimise the extracted energy from the wind, and a number of controller strategies have been developed and applied to the wind energy systems such as: adaptive neuro-fuzzy control (Hafiz and Abdennour, 2016), maximum power point tracking control (Daili, 2015), intelligent maximum power point tracking control based on reinforcement-learning (Wei et al, 2015), Optimal control based on adaptive linear prediction (Narayana et al, 2017) and robust control (Aouani et al 2017;Ghasemi et al, 2014). All those approaches can upgrade the robustness of the system to capture the maximal wind energy.…”

Section: Introductionmentioning

confidence: 99%

Sliding mode control for a wind turbine in finite frequency

Berrada

Boumhidi

2018

IJESMS

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This paper investigates a sliding mode control for a wind turbine in finite frequency (FFSMC). The sliding mode control (SMC) method can be designed for wind energy conversion systems. However, the fluctuations of wind speed perhaps reduce the robustness of the SMC. A dynamic compensator is introduced to design the sliding surface in order to overcome the difficulty of dealing with a fluctuation of wind speed, but the fast change of this fluctuation in certain finite ranges can lead to degrade the compensator performance. In order to solve this problem, a finite frequency approach based on the generalised Kalman-Yakubovich-Popov (KYP) lemma is proposed, and the compensator parameters are obtained in terms of linear matrix inequality (LMI) which can be solved efficiently using existing numerical tools. On the other hand, the reaching law is used to reduce the chattering that is produced by the traditional approach of sliding mode. Finally, the simulation results illustrate the effectiveness of the proposed control strategy compared to a non-singular terminal sliding mode control.

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Adaptive linear prediction for optimal control of wind turbines

Cited by 36 publications

References 33 publications

Wind turbines sustainable power generation subject to sensor faults: Observer‐based MPC approach

Wind turbines sustainable power generation subject to sensor faults: Observer‐based MPC approach

Evaluación del potencial eólico y predicción de la velocidad de viento con Minería de Datos

Sliding mode control for a wind turbine in finite frequency

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