Model-Based Predictive Control Applied to the Doubly-Fed Induction Generator Direct Power Control

Filho, Alfeu J. Sguarezi; Filho, Ernesto Ruppert

doi:10.1109/tste.2012.2186834

Cited by 90 publications

(35 citation statements)

References 38 publications

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“…The obtained result is compared to two difference methods that are the model predictive control introduced by authors in [31] and the discrete sliding-mode control introduced by authors in [32]. All necessary parameters of these methods are listed in the Appendix A.…”

Section: Case Study and Resultsmentioning

confidence: 99%

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A Predictive Power Control Strategy for DFIGs Based on a Wind Energy Converter System

et al. 2017

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Abstract:A feasible control strategy is proposed to control a doubly fed induction generator based on the wind energy converter system (DFIG-WECS). The main aim is to enhance the steady state and dynamic performance under the condition of the parameter perturbations and external disturbances and to satisfy the stator power response of the system. Within the proposed control method, the control scheme for the rotor side converter (RSC) is developed on the model predictive control. Firstly, the self-adaptive reference trajectory is established from the deduced discrete state-space equation of the generator. Then, the rotor voltage is calculated by minimizing the global performance index under the current prediction steps at the sampling instant. Through the control scheme for the grid side converter (GSC) and wind turbine, we have re-applied the conventional control. The effectiveness of the proposed control strategy is verified via time domain simulation of a 150 kW-575 V DFIG-WECS using Matlab/Simulink. The simulation result shows that the control of the DFIG with the proposed control method can enhance the steady and dynamic response capability better than the conventional ones when the system faces errors due to the parameter perturbations, external disturbances and the rotor speed.

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Section: Case Study and Resultsmentioning

confidence: 99%

“…Based on such that, the author in [31] proposed a model predictive control method based on the state-space equations of stator power and rotor voltage to realize the power tracking control. Nonetheless, they failed to measure the error feedback and input limitation and to control the flexibly dynamic response.…”

Section: State Of the Sciencementioning

confidence: 99%

A Predictive Power Control Strategy for DFIGs Based on a Wind Energy Converter System

et al. 2017

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“…MPC uses the dynamic model of the system to predict the current/power of the next moment. Compared to DPC, MPC is more accurate and effective in vector selection, of which the principle is simple and easy to implement, and it has good dynamic and static performance [4][5][6][7][8][9][10][11][12]. But one-step prediction is most used currently.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Direct Power Control of DC Micro Grid Rectifier Based on Neutral Point Potential Balance

Xiaojuan¹,

Xin-ju²,

Haiying³

2017

Mathematical Problems in Engineering

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Aimed at the problem of DC micro grid rectifier control delay and the DC bus voltage stability, the method of two-step model predictive direct power control (TMPDPC) combined with neutral point potential control is proposed. Model predictive direct power control (MPDPC) is designed for rectifier. A cost function is then used to evaluate the active and reactive power ripples, from which the vector that generates the lowest power ripple will be applied during the next sampling interval. Two-step predictive control is designed to compensate for the delay of one-step predictive control. On the basis of this, the two-capacitor voltage unbalance problem in DC side is considered, and the neutral point potential control is added. In the Matlab/Simulink simulation, compared with control effect of direct power control (DPC) and one-step model predictive direct power control (OMPDPC), the control strategy of neutral point potential added to TMPDPC can make the system stability and control accuracy better. The validity of this scheme was validated by physical simulation at last.

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“…Though many modified methods have been presented to overcome these problems [8], their drawback is complex online computation.…”

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confidence: 99%

Performance Evaluation of Doubly-Fed Induction Generator Using Combined Vector Control and Direct Power Control Method

Valipour¹,

Najafi²

2016

IJEECS

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Model-Based Predictive Control Applied to the Doubly-Fed Induction Generator Direct Power Control

Cited by 90 publications

References 38 publications

A Predictive Power Control Strategy for DFIGs Based on a Wind Energy Converter System

A Predictive Power Control Strategy for DFIGs Based on a Wind Energy Converter System

Model Predictive Direct Power Control of DC Micro Grid Rectifier Based on Neutral Point Potential Balance

Performance Evaluation of Doubly-Fed Induction Generator Using Combined Vector Control and Direct Power Control Method

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