Coordinated Predictive Control of DFIG-Based Wind-Battery Hybrid Systems: Using Non-Gaussian Wind Power Predictive Distributions

Kou, Peng; Liang, Deliang; Gao, Feng; Gao, Lin

doi:10.1109/tec.2015.2390912

Cited by 42 publications

(31 citation statements)

References 25 publications

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“…In this paper, k 1 , k 2 , k 3 , and k 4 are chosen as 1. Target values are denoted by the superscript '' * '', and the predicted values from (27) are denoted by the superscript ''p''. The rotor flux reference values are obtained from (6) as…”

Section: Cost Functionmentioning

confidence: 99%

“…The rotor fluxes (w rd (k), w rq (k)) for sample time k are estimated from the rotor and stator currents using (3). The predictive DFIG model in (27) is used to output the predicted rotor fluxes and stator currents (w rd (k ? 1), w rd (k ?…”

Section: Coordinated and Optimized Control Schemementioning

confidence: 99%

“…Compared with a PI controller, a MPC controller obtains faster responses and has less overshoot [25,26]. MPC has been applied to DFIGs not only in the AC grid, but also in the DC grid [27][28][29][30]. However, MPC for a DFIG with two IGBT-based converters, to improve the dynamic and steady-state performance of the DFIG in the DC grid, is also hardly mentioned in the literature.…”

Section: Introductionmentioning

confidence: 99%

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Optimized and coordinated model predictive control scheme for DFIGs with DC-based converter system

Yan

Zhang

et al. 2017

J. Mod. Power Syst. Clean Energy

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This paper proposes an optimized and coordinated model predictive control (MPC) scheme for doublyfed induction generators (DFIGs) with DC-based converter system to improve the efficiency and dynamic performance in DC grids. In this configuration, the stator and rotor of the DFIG are connected to the DC bus via voltage source converters, namely, a rotor side converter (RSC) and a stator side converter (SSC). Optimized trajectories for rotor flux and stator current are proposed to minimize Joule losses of the DFIG, which is particularly advantageous at low and moderate torque. The coordinated MPC scheme is applied to overcome the weaknesses of the field-oriented control technique in the rotor flux-oriented frame, which makes the rotor flux stable and the stator current track its reference closely and quickly. Lastly, simulations and experiments are carried out to validate the feasibility of the control scheme and to analyze the steady-state and dynamic performance of the DFIG.

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Section: Cost Functionmentioning

confidence: 99%

Section: Coordinated and Optimized Control Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimized and coordinated model predictive control scheme for DFIGs with DC-based converter system

Yan

Zhang

et al. 2017

J. Mod. Power Syst. Clean Energy

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“…Model predictive control (MPC) is widely adopted in engineering for multi-objective problems with linear or nonlinear constraints. It has been employed in WECS for generator control [10,11], power converter control [12,13], wind-battery hybrid control [14] and other multi-objective control [15]. Mechanical load and conversion efficiency are considered in [16,17].…”

Section: Introductionmentioning

confidence: 99%

A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind Turbines

et al. 2017

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Abstract:In wind turbine control, maximum power point tracking (MPPT) control is the main control mode for partial-load regimes. Efficiency potentiation of energy conversion and power smoothing are both two important control objectives in partial-load regime. However, on the one hand, low power fluctuation signifies inefficiency of energy conversion. On the other hand, enhancing efficiency may increase output power fluctuation as well. Thus the two objectives are contradictory and difficult to balance. This paper proposes a flexible MPPT control framework to improve the performance of both conversion efficiency and power smoothing, by adaptively compensating the torque reference value. The compensation was determined by a proposed model predictive control (MPC) method with dynamic weights in the cost function, which improved control performance. The computational burden of the MPC solver was reduced by transforming the cost function representation. Theoretical analysis proved the good stability and robustness. Simulation results showed that the proposed method not only kept efficiency at a high level, but also reduced power fluctuations as much as possible. Therefore, the proposed method could improve wind farm profits and power grid reliability.

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“…Investigações com controladores preditivos funcionais [8], [9] para a coordenação de sistemas eólicos e de baterias [10], para a comutação com baixas frequências usando o Controle Direto de Corrente (CDC) [11] e controladores de modo interno [12], [13], oferecem respostas de potência satisfatórias comparadas com a resposta de potência do controlador PI, embora eles sejam difíceis de serem implementados.…”

Section: Introductionunclassified

Controle Direto De Potência Do Tipo Deadbeat Com Desacoplamento Do Fluxo Do Estator Para O Gerador De Indução Duplamente Alimentado

Chaves¹,

Cortes²,

Salles³

et al. 2017

Eletrônica de Potência

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Resumo -Neste artigo é proposto um algoritmo de controle direto de potência, operando a velocidade variável e robusto às variações nos parâmetros de um gerador de indução duplamente alimentado, cuja aplicação é realizada em sistemas eólicos em condições normais de operação. O controlador possui duas malhas de controle: uma para o desacoplamento do fluxo do estator e outra malha de controle Deadbeat. O controlador calcula o vetor de tensão fornecido ao rotor a fim de garantir que a potência ativa e reativa atinjam seus valores de referência desejados. A dependência do algoritmo às variações dos parâmetros foi investigada, assim como a influência dos erros na estimativa desses parâmetros. Simulações em Matlab/Simulink e testes com uma bancada experimental foram feitos para analisar a eficácia do algoritmo proposto.Palavras-chave -Controle Deadbeat, Controle Direto de Potência, Energia Eólica, Gerador de Indução Duplamente Alimentado. A DEADBEAT DIRECT POWER AND DECOUPLED STATOR FLUX CONTROL FOR DFIGAbstract -This paper proposes a direct power control algorithm, operating at variable speed and robust to parameter variations for a Doubly Fed Induction Generator-based wind power generation system. This scheme uses two control loops, one for decoupled stator flux and another one for Deadbeat direct power controller. The control algorithm estimates the voltage vectors to be supplied to the rotor in order to guarantee that active and reactive powers reach their desired reference values. The algorithm parameter dependence and their variations were investigated, together with the influence of the estimation errors for these parameters. Simulations in Matlab/Simulink and experimental results are carried out to validate the effectiveness of the proposed controller during normal operation conditions.

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Coordinated Predictive Control of DFIG-Based Wind-Battery Hybrid Systems: Using Non-Gaussian Wind Power Predictive Distributions

Cited by 42 publications

References 25 publications

Optimized and coordinated model predictive control scheme for DFIGs with DC-based converter system

Optimized and coordinated model predictive control scheme for DFIGs with DC-based converter system

A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind Turbines

Controle Direto De Potência Do Tipo Deadbeat Com Desacoplamento Do Fluxo Do Estator Para O Gerador De Indução Duplamente Alimentado

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