Frequency Reduction-Based Model Predictive Direct Power Control with Multi-Cost Function

Cui, Qinghua; Liao, Mian; Liao, Zhiling; Chen, Zhaoling

doi:10.2991/ammsa-18.2018.49

Cited by 1 publication

(4 citation statements)

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“…Therefore, a trade-off between current THD and switching frequency is always maintained. To overcome these existing problems, various strategies were proposed in the literature [34][35][36][37][38][39]. A switching strategy-based FCS-MPC technique was proposed in Reference [34] to reduce the switching loss and ensure stable operation.…”

Section: Controllers Advantages Disadvantagesmentioning

confidence: 99%

“…Again, two different predictive current-controlled methods were presented in References [35,37] to reduce the switching frequency and THD. Two different predictive power control techniques were presented in References [36,38] to reduce the switching frequency. Furthermore, a model predictive voltage control was proposed in Reference [39] to reduce the switching frequency.…”

Section: Controllers Advantages Disadvantagesmentioning

confidence: 99%

“…It is seen that the maximum switching commutation can be 3 and the minimum can be 0. The switching commutation can be determined by Equation (17) [36]:…”

Section: Cost Function Designmentioning

confidence: 99%

“…The switching frequency reduction term, n sw , can be added to the cost function in two ways. One is a single-cost function frequency reduction strategy and the second is a multi-cost function frequency reduction strategy [36]. The single-cost function strategy is simpler than the multi-cost function and efficient in reducing the switching frequency.…”

Section: Cost Function Designmentioning

confidence: 99%

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Power Loss Analysis of Solar Photovoltaic Integrated Model Predictive Control Based On-Grid Inverter

et al. 2020

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This paper presents a finite control-set model predictive control (FCS-MPC) based technique to reduce the switching loss and frequency of the on-grid PV inverter by incorporating a switching frequency term in the cost function of the model predictive control (MPC). In the proposed MPC, the control objectives (current and switching frequency) select an optimal switching state for the inverter by minimizing a predefined cost function. The two control objectives are combined with a weighting factor. A trade-off between the switching frequency (average) and total harmonic distortion (THD) of the current was utilized to determine the value of the weighting factor. The switching, conduction, and harmonic losses were determined at the selected value of the weighting factor for both the proposed and conventional FCS-MPC and compared. The system was simulated in MATLAB/Simulink, and a small-scale hardware prototype was built to realize the system and verify the proposal. Considering only 0.25% more current THD, the switching frequency and loss per phase were reduced by 20.62% and 19.78%, respectively. The instantaneous overall power loss was also reduced by 2% due to the addition of a switching frequency term in the cost function which ensures a satisfactory empirical result for an on-grid PV inverter.

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Section: Controllers Advantages Disadvantagesmentioning

confidence: 99%

Section: Controllers Advantages Disadvantagesmentioning

confidence: 99%

“…It is seen that the maximum switching commutation can be 3 and the minimum can be 0. The switching commutation can be determined by Equation (17) [36]:…”

Section: Cost Function Designmentioning

confidence: 99%

Section: Cost Function Designmentioning

confidence: 99%

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