Model Predictive Control of a Three-Phase Two-Level Four-Leg Grid-Connected Converter Based on Sphere Decoding Method

Liu, Bo; Cao, Tianxu; Fang, Wenting; Chong, Kil To; Guerrero, Josep M.

doi:10.1109/tpel.2020.3006432

Cited by 19 publications

(18 citation statements)

References 30 publications

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Section: Introductionmentioning

confidence: 99%

“…Recently, there has been a huge interest in renewable energy sources (RESs) which has increased the gridconnected converters (GCCs) applications [1]- [3]. A Threephase four-leg (4L) power converter has been shown unique advantages in various applications and operating conditions [3]- [6]. This inverter topology offers good capability to handle unbalanced currents, and ensures lower stress on the DC-link capacitors in addition to full utilization of the DClink voltage [3]- [6].…”

Section: Introductionmentioning

confidence: 99%

“…A Threephase four-leg (4L) power converter has been shown unique advantages in various applications and operating conditions [3]- [6]. This inverter topology offers good capability to handle unbalanced currents, and ensures lower stress on the DC-link capacitors in addition to full utilization of the DClink voltage [3]- [6]. The multilevel converters (MLCs) present significant advantages compared with the traditional two-level converters [1], [7] including better output current/voltage waveforms, power quality improvement, and converter power increase [1].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the controller performances is strongly dependent on the completeness of current decoupling, the accurate setting of PI parameters, as well as the grid voltage conditions. An alternative to the PI-based control method is the finite-control set model predictive current control (FCS-MPC), which has emerged as a powerful control approach in recent years [3], [5], [10]- [18]. The core idea of the FCS-MPC lies in the prediction of the future power converter behavior based on its developed mathematical model.…”

Section: Introductionmentioning

confidence: 99%

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Simplified Predictive Direct Power Control of Three-Phase Three-Level Four-Leg Grid Connected NPC Converter

Bouzidi

Barkat

Krama

et al. 2022

IEEE Open J. Ind. Electron. Soc.

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Model Predictive Control (MPC) provides various advantages over traditional controllers in power electronics applications. However, reducing the complexity and computational burden of the Finitecontrol set-model predictive control (FCS-MPC) in multi-leg multilevel inverters is still a challenging task. In this paper, a simplified model predictive direct power control (MPDPC) for a three-level, four-leg gridconnected converter (4L-GCC) is proposed. The main idea of the proposed strategy is to reduce the computational burden of the control algorithm by using only the switching vectors of the first sector to optimize the cost function. The proposed control method can ensure accurate control of active and reactive powers, control of zero-sequence current, as well as DC capacitor voltages balancing without using any weighting factors. Simulation and experimental results are provided to prove the effectiveness and simplicity of the proposed MPC algorithm compared with most-recently proposed solutions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simplified Predictive Direct Power Control of Three-Phase Three-Level Four-Leg Grid Connected NPC Converter

Bouzidi

Barkat

Krama

et al. 2022

IEEE Open J. Ind. Electron. Soc.

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“…In the approach presented in ref. [6], the proposed multi-objective cost function optimisation considers tracking control of balanced grid currents, FIGURE 1 Small and isolated wave energy power plant (296 kW) and medium-size wind generators (around 100 kW) filter capacitance voltage, converter-side current and switching frequency to allocate weights in its calculations. However, as the horizon length increases, the solution search enlarges exponentially which is time consuming.…”

mentioning

confidence: 99%

Linear multi‐vector model‐based predictive control for grid side converters of renewable power plants under severe grid disturbances

Ramirez

Castillo

Zarei

et al. 2021

IET Renewable Power Gen

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Grid side converters of renewable power plants have to be capable of dealing with severe grid disturbances, such as, grid faults and voltage sags. Model‐based predictive control provides outstanding performance to grid side converters: fast dynamic response, good tracking error and high‐quality currents. However, choosing the best set of vectors for the modulation requires assessing all the possible combinations of vectors using a cost function, which is very time consuming. Thus, the modulation is normally carried out with only 1 or 2 vectors per PWM period to save computing time, but this turns the modulation non‐linear. This lack of linearity makes it impossible to use symmetrical components in unbalanced grids. A linear multi‐vector model‐based predictive control that controls the power of both sequences using a sole cost function and analyses the effect of the transient response of several sequence decomposition systems on the model‐based predictive control predictions and dynamic response is proposed. Moreover, the proposed multi‐vector provides low THD currents while keeping the computing time low. In addition, the paper addresses the extrapolation of the proposed multi‐vector model‐based predictive control to N‐level converters. The good performance obtained is supported by the results obtained in simulations and the laboratory.

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High precision harmonic controller combined with repetitive and modulated model predictive controllers

et al. 2023

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Model Predictive Control of a Three-Phase Two-Level Four-Leg Grid-Connected Converter Based on Sphere Decoding Method

Cited by 19 publications

References 30 publications

Simplified Predictive Direct Power Control of Three-Phase Three-Level Four-Leg Grid Connected NPC Converter

Simplified Predictive Direct Power Control of Three-Phase Three-Level Four-Leg Grid Connected NPC Converter

Linear multi‐vector model‐based predictive control for grid side converters of renewable power plants under severe grid disturbances

High precision harmonic controller combined with repetitive and modulated model predictive controllers

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