Finite Control Set Model Predictive Current Control for Grid-Connected Voltage-Source Converters With &lt;italic&gt;LCL&lt;/italic&gt; Filters: A Study Based on Different State Feedbacks

Panten, Niklas; Hoffmann, Nils; Fuchs, Friedrich W.

doi:10.1109/tpel.2015.2478862

Cited by 177 publications

(86 citation statements)

References 41 publications

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“…This makes the precise filter parameter selection difficult as standard linear control theory cannot be used to quantify the switching ripples. Finding the right methodology to analytically calculate the parameters is still an open research question [13], [20], [38]. On the other hand, we can quantify the effects of the filter around the fundamental harmonic.…”

Section: Simulation Resultsmentioning

confidence: 99%

Analytical Design and Performance Validation of Finite Set MPC Regulated Power Converters

Novak

Nyman

Dragičević

et al. 2019

IEEE Trans. Ind. Electron.

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A new approach to performance validation of finite control set model predictive control (FCS-MPC) regulated power electronics converters is presented in the paper-statistical model checking (SMC). SMC is an established method used in various sectors of industry to provide solutions to problems that are beyond the abilities of classical formal techniques. The method is simple for implementation and requires only an operational system model that can be simulated and checked against properties. The approach will be presented on a standard 2-level voltage source converter (VSC) regulated by the FCS-MPC algorithm. In UPPAAL SMC toolbox the converter system and controller are modeled as a Network of Stochastic Timed Automata. To assess the quality of the model, an equivalent Simulink model is used as a benchmark model. Using the model created in UPPAAL SMC toolbox the performance of the FCS-MPC algorithm is verified. The control algorithm is also tested on an experimental setup. During the evaluation, no significant degradation of reference tracking was found during transients nor under model parameter uncertainty. Index Terms-Controller performance, DC-AC power conversion, finite control set model predictive control, statistical model checking.

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Section: Simulation Resultsmentioning

confidence: 99%

Analytical Design and Performance Validation of Finite Set MPC Regulated Power Converters

Novak

Nyman

Dragičević

et al. 2019

IEEE Trans. Ind. Electron.

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“…Similarly, based on Equations (26), (27), and (30), the reference of the grid-injected current can be obtained as:…”

Section: Reference Generatormentioning

confidence: 99%

“…where ε are the errors of controlled variables between reference value and estimated value. The weighting factor λ uc is set to achieve active damping [27], and λ i2 is tuned to obtain a high quality grid-injected current [12], and the weighting factors are designed according to [28]. 10.…”

mentioning

confidence: 99%

Finite Control Set Model Predictive Control for an LCL-Filtered Grid-Tied Inverter with Full Status Estimations under Unbalanced Grid Voltage

Chen

Gao

et al. 2019

Energies

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This paper proposes a novel finite control set model predictive control (FCS-MPC) strategy with merely grid-injected current sensors for an inductance-capacitance-inductance (LCL)-filtered grid-tied inverter, which can obtain a sinusoidal grid-injected current whether three-phase grid voltages are balanced or not. Compared with the conventional FCS-MPC method, four compositions are added in the proposed FCS-MPC algorithm, where the grid voltage observer (GVO) and Luenberger observer are combined together to achieve full status estimations (including grid voltage, capacitor voltage, inverter-side current, and grid-injected current), while the sequence extractor and the reference generator are applied to eliminate the double frequency ripples of the active or reactive power, or the negative sequence component (NSC) of the grid-injected current caused by the unbalanced grid voltage. Simulation model and experimental platform are established to verify the effectiveness of the proposed FCS-MPC strategy, with full status estimations under both balanced and unbalanced grid voltage conditions. However, these control schemes are usually designed under the ideal grid voltage condition, and the negative effects caused by the negative sequence component (NSC) are not considered. Therefore, under the unbalanced grid voltage condition, the feasibilities of current sensorless control schemes need be further verified [17].To alleviate the adverse effects of the unbalanced grid voltage, the positive sequence component (PSC) and the NSC of the grid voltages are required to be separated first, and then applied in the control algorithm [18][19][20][21]. In [18], for the distributed generation inverter, a flexible reference generator based on positive and negative active and reactive powers, was proposed to keep feeding the grid and support the grid voltage under the unbalanced grid voltage condition. In [19], to overcome the distortion of grid-injected currents caused by the unbalanced grid voltages, Zheng et al. proposed an improved virtual synchronous generator control method with the additional positive-sequence current adjuster, allowing the reference currents to track the positive sequence currents and inhibiting the negative-sequence components. In [20], Suul et al. proposed a virtual-flux-based method for the voltage-sensorless grid synchronization under variable grid frequency and unbalanced voltage conditions, integrating the functions of frequency-adaptive bandpass filtering, the virtual flux estimation, and the sequence separation into one operation. In [21], Yang et al. proposed a sliding-mode grid voltage observer for the voltage-sensorless operation under an unbalanced network, separating the PSC and NSC inherently. The variables of methods proposed in [18,19] are all based on the full state measurements, while only one kind of sensor is reduced in [20,21]. Note that it is of great challenge for the LCL-filtered grid-tied inverter to further reduce the number of sensors, especially under the unbalanced grid voltage con...

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“…Para representar esse modelo em um sistema em espaço de estadosé considerado que i i (t) e v f (t) são as variáveis de estado e v i (t) e v o (t) são as de controle. Posteriormente, o sistemaé discretizado utilizando Euler Forward como apresentado em Panten et al (2016), resultando nas seguintes equações:…”

Section: Modelo Discreto Do Sistemaunclassified

Controle Preditivo Baseado Em Modelo Para Conversores Formadores De Rede Com Operação Ilhada

Guimarães

Ferreira

Pacheco

et al. 2019

Anais Do 14º Simpósio Brasileiro De Automação Inteligente

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Finite Control Set Model Predictive Current Control for Grid-Connected Voltage-Source Converters With <italic>LCL</italic> Filters: A Study Based on Different State Feedbacks

Cited by 177 publications

References 41 publications

Analytical Design and Performance Validation of Finite Set MPC Regulated Power Converters

Analytical Design and Performance Validation of Finite Set MPC Regulated Power Converters

Finite Control Set Model Predictive Control for an LCL-Filtered Grid-Tied Inverter with Full Status Estimations under Unbalanced Grid Voltage

Controle Preditivo Baseado Em Modelo Para Conversores Formadores De Rede Com Operação Ilhada

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