Optimal Control Applied in Wind systems Load Nonlinear and Random Wind

Albuquerque, Leonardo Tabosa; Pinto, Virgínia Bentes

doi:10.1109/tla.2016.7587612

Cited by 3 publications

(5 citation statements)

References 5 publications

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“…In the state-space modelling of WECS, the LQR controller generates optimal feedback gain to the control inputs of the system by utilising the states and outputs as feedback variables. During this process, it minimises the associated cost function (CF) or performance index, which is composed of two weighting matrices Q and R. The LQR controller is applied in [20] to suppress the harmonics in voltage and current of WECS during load and wind speed variation. It is used in [21] for damping of sub-synchronous interaction in DFIG-based wind farms.…”

Section: Introductionmentioning

confidence: 99%

“…In order to avoid the problem associated with the PI controller, various controllers are used in the modern power system such as

H_{\infty}

controller [18], linear quadratic Gaussian [19], and linear quadratic regulator (LQR) [20, 21]. The LQR controller is used in [22] to control the inter area oscillation on the power system.…”

Section: Introductionmentioning

confidence: 99%

“…During this process, it minimises the associated cost function (CF) or performance index, which is composed of two weighting matrices

bold-italicQ

and

bold-italicR

. The LQR controller is applied in [20] to suppress the harmonics in voltage and current of WECS during load and wind speed variation. It is used in [21] for damping of sub‐synchronous interaction in DFIG‐based wind farms.…”

Section: Introductionmentioning

confidence: 99%

“…It is found to be the same again with the proposed ABC-LQR controller due to no addition of any extra states in the process of the ABC algorithm. The eigenvalues have been determined by (20) for each of the four different system configurations with the optimal values of controllers, which are prodvided in Table 4. These eigenvalues of the system matrix have been utilised to find out the overall system stability of each configuration.…”

mentioning

confidence: 99%

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Analysis and enhancement of small‐signal stability on DFIG‐based wind integrated power system through the optimal design of linear quadratic regulator

Kumar

Chatterjee

2020

IET Renewable Power Generation

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This study analyses the dynamic behaviour of a doubly fed induction generator (DFIG)-based wind integrated power system (WIPS) resulting from a major disturbance. The effects of transient disturbance on WIPS are examined without and with a controller in terms of performance and stability of the system. To enhance the performance of WIPS after a sudden disturbance, an optimally designed linear quadratic regulator (LQR) controller is applied to the system. The wind energy system is described in state-space representation, whose states and outputs are taken as feedback to the controller for improving their dynamic response. An artificial bee colony (ABC)-based swarm optimisation technique is used to evaluate the optimal weighting matrices of the LQR controller in parallel with minimising the performance index and dynamic response characteristics of the system. The effectiveness of the proposed ABC-LQR controller in WIPS is verified by comparing their simulation and numerical results with standard proportional-integral and LQR controllers. It indicates that the proposed controller provides better enhancement of dynamic response as compared with other controllers in terms of performance index and dynamic response characteristics. Moreover, the robustness and stability of various system configurations are tested by the eigenvalue analysis.

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Section: Introductionmentioning

confidence: 99%

“…In order to avoid the problem associated with the PI controller, various controllers are used in the modern power system such as

H_{\infty}

controller [18], linear quadratic Gaussian [19], and linear quadratic regulator (LQR) [20, 21]. The LQR controller is used in [22] to control the inter area oscillation on the power system.…”

Section: Introductionmentioning

confidence: 99%

“…During this process, it minimises the associated cost function (CF) or performance index, which is composed of two weighting matrices

bold-italicQ

and

bold-italicR

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Analysis and enhancement of small‐signal stability on DFIG‐based wind integrated power system through the optimal design of linear quadratic regulator

Kumar

Chatterjee

2020

IET Renewable Power Generation

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“…However, some researchers, interested in studying the wind collectors, have focused to the development of more efficient profiles to use in wind turbines (Altan & Atilgan, 2008;Albuquerque & Pinto, 2016). These studies have made it possible to obtain a speed restriction, due to the phenomenon called 'stall', and also the reduce of noise caused by the high speed of tips of the propellers.…”

Section: Introductionmentioning

confidence: 99%

<b>Proposal of using sensor networks for measurements of the efficiencies of a low cost vertical wind turbine

Penereiro

Araujo

2018

Acta Sci. Technol.

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ABSTRACT. This work presents a vertical wind turbine with wind collector designed using low-cost materials and specific sensors for the acquisition of physical quantities relevant to obtain measures of efficiencies under different conditions of use. We describe the selection of materials; construction, assembly and mechanical tests and, mainly, sensors with applications of electrical and electronic elements; as well as some tests made to obtain the instantaneous and average efficiencies. We decided to perform experimental measurements by means of digital temperature sensors, speed of rotation, voltimeters and amperimeters, which were placed at strategic points of the wind power device. Simultaneously, using an anemometer, sought to make wind speed measurements in some experimental tests. So, it was necessary to build and refine traditional microcontroller boards whose functions were to identify and read all measurements, in addition to performing the interface between the sensors employed with the microcomputer used. The experimental parameters were identified with programs using the ScadaBR and Excel, specifically developed as necessary.Keywords: vertical wind turbine; alternative energy; measurement sensors; energetic efficiency.Proposta do uso de redes de sensores para medições das eficiências de uma turbina eólica vertical de baixo custo RESUMO. Este trabalho apresenta uma turbina eólica vertical projetada com coletores de vento usando materiais de baixo custo e sensores específicos para aquisição de grandezas físicas relevantes para obtenção de medidas de eficiências em diferentes condições de uso. Descrevem-se a seleção de materiais; construção, montagens e testes mecânicos e, principalmente, aplicações de sensores com elementos elétricos e eletrônicos; além de alguns testes que para obtenção das eficiências instantânea e média. Optou-se por realizar as medições experimentais por meio de sensores digitais de temperaturas, velocidades de rotações, voltímetros e amperímetros, que foram colocados em pontos estratégicos do dispositivo eólico. Simultaneamente, com o uso de um anemômetro, procurou-se efetuar medidas da velocidade do vento em alguns ensaios experimentais. Para tanto, foi necessário construir e aperfeiçoar placas microcontroladoras cujas funções foram identificar e ler todas as medições, além de realizar a interface entre os sensores empregados com o microcomputador utilizado. Os parâmetros experimentais foram identificados com programas usando o ScadaBR e o Excel, desenvolvidos especificamente conforme as necessidades.Palavras-chave: turbina eólica vertical; energia alternativa; sensores de medições; eficiência energética.

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A Fuzzy Approach for Optimal Robust Control Design of an Automotive Electronic Throttle System

Sun

Zhao

Huang

et al. 2018

IEEE Trans. Fuzzy Syst.

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Optimal Control Applied in Wind systems Load Nonlinear and Random Wind

Cited by 3 publications

References 5 publications

Analysis and enhancement of small‐signal stability on DFIG‐based wind integrated power system through the optimal design of linear quadratic regulator

Analysis and enhancement of small‐signal stability on DFIG‐based wind integrated power system through the optimal design of linear quadratic regulator

<b>Proposal of using sensor networks for measurements of the efficiencies of a low cost vertical wind turbine

A Fuzzy Approach for Optimal Robust Control Design of an Automotive Electronic Throttle System

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