Priority Sorting Approach for Modular Multilevel Converter Based on Simplified Model Predictive Control

Huang, Jingjing; Yang, Bo; Guo, Fanghong; Wang, Zaifu; Tong, Xiangqian; Zhang, Aimin; Xiao, Jianfang

doi:10.1109/tie.2017.2774725

Cited by 134 publications

(39 citation statements)

References 26 publications

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“…Equation (5) shows that the CHB output voltage is a function of the states applied to the H-bridge inside each cell. As each H-bridge can take four possible states, the CHB converter has 2 2n c available states [25].…”

Section: Cascaded H-bridge Convertermentioning

confidence: 99%

“…Their objective is to identify the optimal input v o,opt that will result in the best future performance, considering the control objectives and constraints imposed by the system. In particular, the discussion will be restricted to the simplest MPC scheme, using a prediction horizon equal to one [1][2][3][4][5][6][7]. From the discrete-time model derived in Section 2, the prediction model (6) is evaluated for each valid state of the CHB inverter.…”

Section: Conventional Fcs-mpcmentioning

confidence: 99%

“…FCS-MPC strategies, despite being widely used in diverse applications, still have several challenges to be solved such as its variable switching frequency and its spread harmonic spectrum, among others [5][6][7][8]. FCS-MPC lacks a modulation stage, which means that it has neither a fixed voltage pattern nor control of the switching frequency, thus increasing the number of states changes and generating an unwanted spread of voltages and currents harmonics.…”

Section: Introductionmentioning

confidence: 99%

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Finite Control Set MPC with Fixed Switching Frequency Applied to a Grid Connected Single-Phase Cascade H-Bridge Inverter

2020

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Finite control set model predictive control (FCS-MPC) has been widely investigated in recent years due to its ability to handle optimization problems with multiple control objectives in a diverse variety of systems. Moreover, its direct implementation in digital-based systems has made it an attractive strategy in static power converter applications. However, its characteristics such as variable switching frequency and spread harmonic spectrum limit the use of standard MPC due to power losses, audible noise, steady-state performance, and resonances. To mitigate these problems and extend the FCS-MPC applications to new areas, this paper proposes a new hybrid predictive control scheme, capable of achieving a harmonic spectrum distribution similar to that obtained with a pulse-width modulation scheme. The proposed strategy is based on a system model to generate an optimization, and, at the same time, an input restriction in the cost function of the standard FCS-MPC. This new approach is validated through experimental tests carried out in a grid-connected Cascaded H-bridge inverter.

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Section: Cascaded H-bridge Convertermentioning

confidence: 99%

Section: Conventional Fcs-mpcmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Finite Control Set MPC with Fixed Switching Frequency Applied to a Grid Connected Single-Phase Cascade H-Bridge Inverter

2020

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“…Among them, modular multilevel converter (MMC), active neutral-point-clamped (ANPC) converter, and nested neutral point-clamped (NNPC) multilevel converter gain increasing attention from both academia and industry. MMC is a modular topology and exhibits better scalability, flexible redundant operations and strong fault-tolerance compared with other power converter topologies [9]- [11]. These prominent features of MMC make it especially well suitable for high-voltage direct current (HVdc) transmissions.…”

Section: Introductionmentioning

confidence: 99%

“…However, the appropriate values of several involved WFs are difficult to select. Different from [9], the WFs can be eliminated in [10], [11] by using a cascaded control structure for MMC. Due to the distinct operation principles, it cannot be implemented in the 7-level T-NNPC converter.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Layer Sequential Model Predictive Control of Three-Phase Two-Leg Seven-Level T-Type Nested Neutral Point Clamped Converter Without Weighting Factors

Wang

2019

IEEE Access

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In this paper, a triple-layer sequential model predictive control (SMPC) approach without weighting factors is proposed for a three-phase two-leg 7-level T-type nested neutral point clamped (T-NNPC) converter. The main objectives of this paper are to eliminate the selection of weighting factors and enhance the reliability of system in the control process. In the proposed design, three cost functions are formulated in a cascaded way to avoid the weighting factors tuning while not compromising the computational complexity. Furthermore, the three-phase two-leg 7-level T-NNPC converter is investigated to improve the fault-tolerance ability in case of a faulty leg condition. Finally, the effectiveness of the control methodology for the three-phase two-leg 7-level T-NNPC converter is validated by comparative simulation studies. INDEX TERMS T-type nested neutral point clamped (NNPC) converter, fault tolerant operation, weighting factor elimination, low switching frequency.

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Simple two‐stage weighting factor design for finite control set model predictive control of modular multilevel converters

Khosravi

Khaburi

Rodríguez

2021

Int J Numerical Modelling

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Due to discrete nature of power converters, finite control set model predictive control (FCS‐MPC) is considered as an attractive choice for these systems. Since this control technique provides advantages like improved dynamic performance and inclusion of several control objectives in a single cost function, it is especially appropriate for topologies like modular multilevel converters (MMCs), where multiple control goals, that is, output and circulating currents control, and cells' capacitor voltage balancing should be satisfied. Despite these advantages, huge computational burden and weighting factor selection are two serious obstacles. In this work, a simple two‐stage weighting factor selection scheme is suggested for FCS‐MPC applied to MMCs. At the first stage, some offline tests are conducted for different weighting factors; and a pre‐optimal value is selected, based on minimizing the total harmonic distortion (THD) of output current and root mean square (RMS) value of the circulating current. However, since optimal performance at different operating conditions is achieved by different weighting factors, the pre‐optimal value will be updated at the second stage by a simple online algorithm. Moreover, a technique is suggested for effectively decreasing the computational burden. Finally, by conducting several simulation and experimental tests, the satisfactory performance of proposed controller is validated, compared to fixed weighting factor FCS‐MPC.

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Priority Sorting Approach for Modular Multilevel Converter Based on Simplified Model Predictive Control

Cited by 134 publications

References 26 publications

Finite Control Set MPC with Fixed Switching Frequency Applied to a Grid Connected Single-Phase Cascade H-Bridge Inverter

Finite Control Set MPC with Fixed Switching Frequency Applied to a Grid Connected Single-Phase Cascade H-Bridge Inverter

A Multi-Layer Sequential Model Predictive Control of Three-Phase Two-Leg Seven-Level T-Type Nested Neutral Point Clamped Converter Without Weighting Factors

Simple two‐stage weighting factor design for finite control set model predictive control of modular multilevel converters

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