An optimal control strategy for DFIG

Barros, Luciano Sales; Mota, W.S.; Silva, Jaidilson Jó da; Barros, Camila Mara Vital

doi:10.1109/icit.2010.5472460

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…84 Other Argentinian physicists went to Brazil for training and took part in expeditions to the Bolivian mountain of Chacaltaya. 85 An opportunity for cosmic-ray studies to be conducted in Bolivia arose some years later, after Compton suggested Chacaltaya for cosmic-ray research and specifically when, in 1947, Lattes took nuclear emulsions to this mountain and detected the pi-meson. 86 Lattes had been doing research at Bristol University, where the technique of photographic nuclear emulsions was used and developed.…”

Section: Tracing a Transnational Three-dimensional Space For Cosmimentioning

confidence: 99%

Up‐and‐down journeys: The making ofLatinAmerica's uniqueness for the study of cosmic rays

Minor

2020

Centaurus

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In 1942, American Nobel Prize‐winning physicist Arthur Compton pointed out that, “Because in this field of cosmic ray studies certain unique advantages are given by their geographical position, this field of physics has been especially emphasized in South America.” This paper seeks to interrogate the making of Latin America's uniqueness with respect to cosmic‐ray research through an analysis that considers Compton's geographical argument, but also goes beyond it, referring to the interactions of nature, knowledge, practices, scientific communities, and diplomacy. To begin with, it highlights the place‐based strategies and practices associated with cosmic‐ray research. Once research in the field at different altitudes demonstrated that cosmic rays traveled from outer space to the Earth surface, their nature was scrutinized by expeditions that covered broad vertical and horizontal expanses. The study of cosmic rays in Latin America displayed the mobilization of that strategy, which reinforced the reliability of certain sites located at high altitudes and close to the geomagnetic equator in projected investigations. Moreover, such analysis of cosmic rays involved research practices in the field, the emergence of (local, regional, or international) research traditions, and the creation of spaces of knowledge at different scales. By centering on the interaction of knowledge and place, this paper shows that an exploration of the “up‐and‐down journeys” of cosmic‐ray research in Latin America expands our understanding of the geographies and practices of 20th‐century physics.

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Section: Tracing a Transnational Three-dimensional Space For Cosmimentioning

confidence: 99%

Up‐and‐down journeys: The making ofLatinAmerica's uniqueness for the study of cosmic rays

Minor

2020

Centaurus

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“…The authors of Ref. 22 have proposed an LQR control strategy for the stability analysis in the DFIG system under the different disturbances. The results of this article indicated that the LQR controller offers good performance in comparison to the PI control.…”

Section: Introductionmentioning

confidence: 99%

Disturbance rejection of the powers and DC ‐link voltage of a doubly‐fed induction generator using state‐space based linear quadratic integral optimal control approach

Bhushan

Kumar²,

Chatterjee

2021

Int Trans Electr Energ Syst

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In this paper, an optimal linear quadratic regulator (LQR)-based integral controller (i.e., linear quadratic integral [LQI]) has been designed with an innovative approach for the tracking problems of a wind-driven doubly-fed induction generator (DFIG) system. The main objective of this controller is to reject the deviations that occurred in the DFIG powers together with the DC-link voltage due to the perturbations in the stator voltage. The purpose of the inclusion of integral action with the well-known modern optimal controller LQR is to guarantee zero steady-state error for disturbance rejection/set-point tracking. Further, the genetic algorithm (GA) technique is included for the optimal design of the LQI weighting matrices, which rapidly, as well as effectively rejects the disturbances from the system by regulating the augmented state variables. Therefore, to overcome these issues we have chosen the appropriate control model, which controls as a whole, that is, a multi-input-multi-output (MIMO) system. The DFIG system is a MIMO system, which has been modeled in a state-space approach in the d-q axes rotating frame of reference. To examine the effectiveness and robustness of the suggested control strategy, small-signal stability has been done by eigen values and participation factors method on digital simulations in the MATLAB/Simulink environment. Furthermore, the optimal control solutions have been tested under the various larger List of Symbols and Abbreviations: Δ, small deviation; ϕ s , angle between the voltage of slack bus and DFIG bus; ψ qr , ψ dr , d-q axes components of the rotor flux linkages; ψ qs , ψ ds , d-q axes components of the stator flux linkages; ω B , base speed; ω r , generator-angular speed; ω s , synchronous angular speed; C dc , capacitance of the DC-link; f, nominal frequency; H, combined inertia of wind turbine and generator; i dc , DC-link capacitor current; i qg , i dg , d-q axes components of the GSC current; i qr , i dr , d-q axes components of the RSC current; i qs , i ds , d-q axes components of the stator side current; i qt , i dt , d-q axes components of the total transmission line current; I t , total transmission line current; L m

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“…In [21], the DFIG-based WECS small signal stability was analyzed and their impacts on the eigenvalues of a DFIG in a single machine infinite bus system was investigated. In [22], the states of DFIG are used to obtain the optimal feedback control with utilizing the rotor currents beside the rotor voltages. Fuzzy logic nonlinear controller and particle swarm optimization are used in [23] to handle the nonlinearities in DFIG and to optimize the controllers' gains.…”

Section: Introductionmentioning

confidence: 99%

Gravitational-Search Algorithm for Optimal Controllers Design of Doubly-fed Induction Generator

Albatran¹,

Alomoush²,

Koran³

2018

IJECE

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Recently, the Gravitational-Search Algorithm (GSA) has been presented as a promising physics-inspired stochastic global optimization technique. It takes its derivation and features from laws of gravitation. This paper applies the GSA to design optimal controllers of a nonlinear system consisting of a doubly-fed induction generator (DFIG) driven by a wind turbine. Both the active and the reactive power are controlled and processed through a back-to-back converter. The active power control loop consists of two cascaded proportional integral (PI) controllers. Another PI controller is used to set the q-component of the rotor voltage by compensating the generated reactive power. The GSA is used to simultaneously tune the parameters of the three PI controllers. A time-weighted absolute error (ITAE) is used in the objective function to stabilize the system and increase its damping when subjected to different disturbances. Simulation results will demonstrate that the optimal GSA-based coordinated controllers can efficiently damp system oscillations under severe disturbances. Moreover, simulation results will show that the designed optimal controllers obtained using the GSA perform better than the optimal controllers obtained using two commonly used global optimization techniques, which are the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO).

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An optimal control strategy for DFIG

Cited by 6 publications

References 6 publications

Up‐and‐down journeys: The making ofLatinAmerica's uniqueness for the study of cosmic rays

Up‐and‐down journeys: The making ofLatinAmerica's uniqueness for the study of cosmic rays

Disturbance rejection of the powers and DC ‐link voltage of a doubly‐fed induction generator using state‐space based linear quadratic integral optimal control approach

Gravitational-Search Algorithm for Optimal Controllers Design of Doubly-fed Induction Generator

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