Multivector Model Predictive Power Control With Low Computational Burden for Grid-Tied Quasi-Z-Source Inverter Without Weighting Factors

Duan, Xinwei; Kang, Longyun; Zhou, Hailan; Liu, Qinghua

doi:10.1109/tpel.2022.3174303

Cited by 15 publications

(5 citation statements)

References 30 publications

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“…During the shoot through state S1 to S9 are closed making the multilevel inverter full dead short circuit. As part of the q-ZSI, S10 to S15 are made open for generating the voltage across the capacitor [24], [25]. The state space model for the q-ZSI can be analysed considering three modes of operation such as active voltage mode, shoot through mode and zero voltage mode for capacitor voltage, load current and inductance current can be presented as follows:…”

Section: Z-source Inverter In Automotive Application 21 Quasi-z-sourc...mentioning

confidence: 99%

Design and analysis of trans Z-source inverter for electric vehicle applications using neural network-clustering

2023

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The presented paper analyzes the detailed design of a trans Z-source inverter (ZSI) with an input from solar photovoltaic (SPV) system. Increase in SPV uses requires highly efficient SPV enabled inverters under varying weather parameters are in high demand in modern smart grid applications. The SPV-trans ZSI has high conversion efficiency because of the single-stage voltage boost conversion capability. In contradiction, the conventional voltage source inverter (VSI) requires an additional step-up transformer to boost the output voltage of inverter. This reduces the efficiency by increasing the volume of set up and also increase the cost of the system. In the proposed SPV system it provides a better output against VSI. The increase in inverter output voltage is because of shoot through time period present in ZSI. It also reduces the voltage stress and harmonics content as compared to VSI. The proposed model has been validated through MATLAB simulation.

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Section: Z-source Inverter In Automotive Application 21 Quasi-z-sourc...mentioning

confidence: 99%

Design and analysis of trans Z-source inverter for electric vehicle applications using neural network-clustering

2023

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“…The waveforms and measurements show that the proposed simplified PDPC is feasible and demonstrates good reference-tracking capabilities. Table 6 presents a comparative investigation based on the complexity of the model, the output active power ripple, and the line current THD between the proposed simplified PDPC and recently published control schemes [26][27][28][29]. The comparison is conducted on the same application, such as grid-connected mode.…”

Section: Vmpp Vpvmentioning

confidence: 99%

“…Model predictive control of dual-mode operations for the Z-Source inverter is proposed in [28] and presented when the algorithm works in the double function, however, the switching frequency is not fixed. The authors of [29] proposed the model predictive power control without weighting factors for reducing the computational burden, though the power ripple is still significant.…”

Section: Introductionmentioning

confidence: 99%

Low Computational Burden Predictive Direct Power Control of Quasi Z-Source Inverter for Grid-Tied PV Applications

et al. 2023

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This paper proposes a simplified predictive direct power control for the grid-tied quasi Z-source inverter. The proposed control implements a model predictive control structure to achieve the maximum obtainable power from the collected PV source. The power delivered to the grid is managed to compensate for the reactive power and, as needed, to ensure the grid’s stability. A predictive power model for a quasi Z-source inverter is developed in which the proposed control can operate with a fixed switching frequency without a weighting factor. The simplified space vector modulation uses the three appropriate switching vectors that are selected and applied using precalculated switching times during each switching period, in which the required switching vectors are determined only from one sector in the space vector diagram, taking all of the information of the other sectors, which leads to reducing the computational burden. Simulation results and comparative study are used to confirm the proposed control performance for the grid-tied quasi Z-source inverter capable of tracking and generating the maximum power from PV with fast-tracking dynamics, ensuring the ac voltage desired, and better tracking of the active and reactive power reference with the lowest power ripple. The grid current harmonics were tested and conformed to the IEEE-519 standard. Additionally, the proposed simplified PDPC is experimentally validated using the Hardware-in-the-Loop emulator and the C2000TM-microcontroller-LaunchPadXL TMS320F28379D kit, establishing the usability and good result of our proposed control approach in terms of requirements.

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“…As a result, implementing an FCS-MPC with a long prediction horizon may become unfeasible in practice [36,37]. For the reasons mentioned, efforts are made to reduce the computational processing required when operating with an extended horizon in the FCS-MPC strategy; In this context, some new approaches have been proposed in recent years [36,40]. It is known that there will be differences in the implementation of the different FCS-MPC strategies mentioned; in this regard, a brief comparison is provided in Table 1.…”

Section: Introductionmentioning

confidence: 99%

Comparison of FCS-MPC Strategies in a Grid-Connected Single-Phase Quasi-Z Source Inverter

et al. 2023

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This paper compares two finite-control-set model predictive control (FCS-MPC) strategies in the context of a grid-connected single-phase quasi-Z source inverter (SP-qZSI). Both schemes use discrete-time models of the inductor current and capacitor voltage for the DC side, as well as the output current on the AC side. To enhance the converter’s performance, given the non-minimum phase characteristics of the DC side, a long prediction horizon is implemented for the predictive control. However, a horizon of this nature can be highly demanding in terms of processing load, rendering it inapplicable for some microcontrollers. To address this issue and mitigate the processing load, an alternative control strategy is presented that divides the total number of candidate solutions to be evaluated into smaller segments. The performance of the two control strategies is compared using total harmonic distortion (THD) and simulation times as evaluation metrics. The results indicate that the proposed strategy achieves significantly shorter simulation times than the compared control strategy when increasing the prediction horizon. Additionally, a reduction in the THD was observed in the proposed strategy, reaching an average of 2.8%, which is lower than the compared strategy that exhibited THD close to 3.5%.

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Multivector Model Predictive Power Control With Low Computational Burden for Grid-Tied Quasi-Z-Source Inverter Without Weighting Factors

Cited by 15 publications

References 30 publications

Design and analysis of trans Z-source inverter for electric vehicle applications using neural network-clustering

Design and analysis of trans Z-source inverter for electric vehicle applications using neural network-clustering

Low Computational Burden Predictive Direct Power Control of Quasi Z-Source Inverter for Grid-Tied PV Applications

Comparison of FCS-MPC Strategies in a Grid-Connected Single-Phase Quasi-Z Source Inverter

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