Modified Increased-Level Model Predictive Control Methods With Reduced Computation Load for Modular Multilevel Converter

Chen, Xingxing; Liu, Jinjun; Song, Shuguang; Ouyang, Shaodi; Wu, Hongda; Yang, Yue

doi:10.1109/tpel.2018.2882690

Cited by 33 publications

(15 citation statements)

References 35 publications

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“…For the convenience of analysis, we assume that the proposed IAS is applied to MMC with a small number of SMs (N≤10). In this case, the suppression performance could be ensured with ε=1 [54], [67]- [68], and the corresponding evaluated COs refer to the circles located in the blue area in Fig. 5(b) and the number of the evaluated COs is 3N+1.…”

Section: ) Reduced Computation Complexitymentioning

confidence: 99%

Hybrid Model Predictive Control for Modified Modular Multilevel Switch-Mode Power Amplifier

Guo

Yue

et al. 2021

IEEE Trans. Power Electron.

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This paper proposes a hybrid model predictive control (HMPC) for a modified modular multilevel switch-mode power amplifier (M3-SMPA).The M3-SMPA consists of two parts connected in series including modular multilevel converter (MMC) and full-bridge converter (FBC). Different from available MPC methods that only apply either finite control set MPC (FMPC) or modulated MPC (MMPC), the proposed HMPC method synthesizes the merits of both FMPC and MMPC on different time scales. Firstly, the optimal control option (CO) for MMC is calculated by FMPC with the multiple control objectives including output voltage control, circulating current control, and submodules (SMs) capacitor voltages balance control. Then based on the above optimal CO, the optimal duty cycle for FBC is calculated by MMPC with a single objective of output voltage control. In this case, the FMPC achieves the multi-objective control of MMC while the MMPC eliminates the tracking error of output voltage using FBC with a fixed switching frequency. Furthermore, a circulating current injection method is presented to balance the SMs capacitor voltages and an improved adjacent search (IAS) method is introduced to reduce the evaluated COs for MMC in each control period. The effect of DC-link voltage configuration for FBC on output steady-state performance is also analyzed. Finally, the effectiveness of the proposed HMPC method is verified by experimental results.Index Terms-hybrid model predictive control (HMPC), modified modular multilevel converter (M3C), switch-mode power amplifier, finite control set model predictive control (FMPC), modulated model predictive control (MMPC), improved adjacent search 

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Section: ) Reduced Computation Complexitymentioning

confidence: 99%

Hybrid Model Predictive Control for Modified Modular Multilevel Switch-Mode Power Amplifier

Guo

Yue

et al. 2021

IEEE Trans. Power Electron.

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“…In order to better analyze the computation of the proposed method, a computation burden comparison with some MPC methods is further carried. According to reference [34], the complexity of the algorithms can be stated by the estimation of the required runtime. For the estimated real-time execution time, it can be expressed as…”

Section: Time Complexitymentioning

confidence: 99%

Modulated Model Predictive Control for Multilevel Cascaded H-Bridge Converter-Based Static Synchronous Compensator

Xiao

Jin

Jia

et al. 2022

IEEE Trans. Ind. Electron.

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The model predictive control (MPC) methods have been widely applied due to the fast dynamic performance and multiple control targets. However, they show certain limits when applied to the multilevel converters, such as unfixed switching frequency, large computation burden, and complex weighting factors selection. This paper proposes a novel modulated model predictive control (M 2 PC) method for cascaded H-bridge (CHB) converter based static synchronous compensator (STATCOM). Instead of multi-targets integration and weighting factors design, the proposed method disintegrates the voltage balancing control process from the cost function. The evaluated control sets for output current control is decided by the search step and the search range in each period. By proper design and selection of the adaptive search step for the output voltage references under α-β coordinate, the search range can be reduced, which greatly reduces the number of evaluated control sets in each control period. Therefore, the dynamic of output characteristics and the low prediction computation burden of the MPC method are guaranteed simultaneously. In addition, with the simple and independent integration of the capacitor voltage balancing control, the proposed method can be easily applied in the CHB converter based STATCOM application. Furthermore, this paper provides a delay compensation for the prediction process, and it provides a fixed switching frequency for each H-bridge cell. Simulation and experimental results verify the effectiveness of the proposed M 2 PC method.

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“…In order to better analyze the computation burden of the proposed method, the comparisons with some MPC methods are further carried out. According to reference [26], the complexity of an algorithm can be stated by the estimation of the required runtime. For the estimated realtime execution time, it can be expressed as…”

Section: Comparisonmentioning

confidence: 99%

A Novel Sliding-Discrete-Control-Set Modulated Model Predictive Control for Modular Multilevel Converter

et al. 2021

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Model predictive control (MPC) method has been recognized as one of the most promising technologies for the modular multilevel converter (MMC) due to the fast dynamic response and its simple realization. However, conventional finite control set (FCS) MPC methods for MMC are facing some challenges, such as high computation burden, poor steady-state performance, dependence on weighting factors, and variable switching frequency. In order to solve these problems, a novel sliding-discrete-controlset (SDCS) modulated MPC (MMPC) is proposed for MMC in this paper. Based on the adaptive search step in the output current control, only three control sets are evaluated in each period. In addition, the independent circulating current controller is applied in the proposed MMPC method. With the circulating current controller, the circulating currents are well regulated, and the arm capacitor voltage balancing is realized by circulating current injection. As a result, there is no weighting factor involved in the proposed MMPC method. Compared with the conventional MPC methods, the proposed method obtains a fixed switching frequency in each submodule (SM) and a low comparable computation burden. Simulation and experimental results verify the effectiveness of the proposed method.INDEX TERMS Modular multilevel converter (MMC), high voltage direct current (HVDC), model predictive control (MPC), switching frequency, computation burden.

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Modified Increased-Level Model Predictive Control Methods With Reduced Computation Load for Modular Multilevel Converter

Cited by 33 publications

References 35 publications

Hybrid Model Predictive Control for Modified Modular Multilevel Switch-Mode Power Amplifier

Hybrid Model Predictive Control for Modified Modular Multilevel Switch-Mode Power Amplifier

Modulated Model Predictive Control for Multilevel Cascaded H-Bridge Converter-Based Static Synchronous Compensator

A Novel Sliding-Discrete-Control-Set Modulated Model Predictive Control for Modular Multilevel Converter

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