Dynamic Performance Improvement of AC/DC Converter Using Model Predictive Direct Power Control With Finite Control Set

Choi, Dae-Keun; Lee, Kyo-Beum

doi:10.1109/tie.2014.2352214

Cited by 184 publications

(81 citation statements)

References 43 publications

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“…The mission of a DFIG wind turbine generator control is to keep the active and reactive power injected to the grid tracking well the reference value. The equivalent circuit of a DFIG in the stators' reference frame is shown in Figure 4 and the stator/rotor voltage vectors in the synchronously rotating frame of the reference are shown as [45,46]: Meanwhile, Figure 5 provides One important phenomenon we can observe from Figure 2 is that the first intersection point of the FERL method is closer to the equilibrium, hence, the system experiences a shorter chattering stage, which is also one of the major strengths of the FERL method. Meanwhile, we can see from Figure 3 that the chattering level of the FERL method near the switching surface is much smaller than that of the other methods.…”

Section: Dfig Wind Turbine Applicationmentioning

confidence: 99%

Sliding Mode Control of DFIG Wind Turbines with a Fast Exponential Reaching Law

Xiong

et al. 2017

Energies

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This paper proposes a novel sliding mode control (SMC) technique for doubly fed induction generators (DFIGs) based on the fast exponential reaching law (FERL). The proposed FERL-based SMC is capable of reducing to a large extent the chattering phenomena existing in the sliding stage. Meanwhile, the reaching stage is accelerated with the introduction of an adaptive gain. The proposed method is employed in a DFIG-based wind energy conversion system (WECS) for direct power control (DPC). The FERL-based DPC approach is tested with simulations conducted in Matlab/Simulink under the scenarios of unbalanced grid voltage, grid fault conditions and highly unstable wind speed accompanied by an experimental study. The simulations and experimental results reveal the better performance of the proposed control method in active/reactive power tracking and dc-link voltage maintenance.

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Section: Dfig Wind Turbine Applicationmentioning

confidence: 99%

Sliding Mode Control of DFIG Wind Turbines with a Fast Exponential Reaching Law

Xiong

et al. 2017

Energies

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“…최근 마이크로컨트롤러(Micro controller unit, MCU)의 발전과 더불어 전력변환 시스 템에서의 모델 예측 기반의 전류 제어 방법의 연구가 활발하게 진행되고 있다 [1]- [4] . 모델 예측 제어 방법은 시 스템의 수학적 모델링을 통해 다음 상태의 출력을 예측 하여 최적의 제어 입력을 선택하는 방법으로, 시스템 구 현이 간단하고 응답특성이 빠르며 안정한 장점이 있다 [5]- [8] .…”

Section: 서 론unclassified

Space Vector Modulation based on Model Predictive Control to Reduce Current Ripples with Subdivided Space Voltage Vectors

Moon¹,

Lee²,

Lee³

et al. 2017

The Transactions of the Korean Institute of Power Electronics

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This paper proposes the model predictive control with space vector modulation (SVM) method for current control of voltage-source inverter. Unlike the conventional method using a limited number of voltage vectors by switching states, the proposed method can consider various voltage vectors to identify the optimized voltage vector. The various voltage vectors are obtained by subdividing existing voltage vectors. The optimized voltage vector that minimizes the cost function is selected and applied to the inverter by using the SVM. The various voltage vectors and SVM reduce current ripples in the output AC side of the inverter compared with the conventional method. The effectiveness and performance of the proposed method are verified through simulation and experiment with a three-phase two-level voltage-source grid-connected inverter.

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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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Dynamic Performance Improvement of AC/DC Converter Using Model Predictive Direct Power Control With Finite Control Set

Cited by 184 publications

References 43 publications

Sliding Mode Control of DFIG Wind Turbines with a Fast Exponential Reaching Law

Sliding Mode Control of DFIG Wind Turbines with a Fast Exponential Reaching Law

Space Vector Modulation based on Model Predictive Control to Reduce Current Ripples with Subdivided Space Voltage Vectors

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

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