Performance Assessment of Grid Forming Converters Using Different Finite Control Set Model Predictive Control (FCS-MPC) Algorithms
Abstract
:1. Introduction
2. Systems Description
Converter Model
3. Selected MPC Algorithms
3.1. Conventional Model Predictive Control Algorithm (CMPC)
3.2. Improved Model Predictive Control Algorithm (IMPC)
3.3. Periodic Control (PMPC)
3.4. Predictive-Fixed Control Technique Based on Space Vector Modulation (SVM) (MPC)
4. Power Loss Evaluation
5. Results and Discussion
6. Proposal for a Standardized Switching Frequency
7. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Parameter | Quantity |
---|---|
S | 15 kVA |
230 V (rms) | |
600 V | |
50 Hz | |
≈5 kHz | |
3 mH | |
40 F |
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Alhasheem, M.; Blaabjerg, F.; Davari, P. Performance Assessment of Grid Forming Converters Using Different Finite Control Set Model Predictive Control (FCS-MPC) Algorithms. Appl. Sci. 2019, 9, 3513. https://doi.org/10.3390/app9173513
Alhasheem M, Blaabjerg F, Davari P. Performance Assessment of Grid Forming Converters Using Different Finite Control Set Model Predictive Control (FCS-MPC) Algorithms. Applied Sciences. 2019; 9(17):3513. https://doi.org/10.3390/app9173513
Chicago/Turabian StyleAlhasheem, Mohammed, Frede Blaabjerg, and Pooya Davari. 2019. "Performance Assessment of Grid Forming Converters Using Different Finite Control Set Model Predictive Control (FCS-MPC) Algorithms" Applied Sciences 9, no. 17: 3513. https://doi.org/10.3390/app9173513
APA StyleAlhasheem, M., Blaabjerg, F., & Davari, P. (2019). Performance Assessment of Grid Forming Converters Using Different Finite Control Set Model Predictive Control (FCS-MPC) Algorithms. Applied Sciences, 9(17), 3513. https://doi.org/10.3390/app9173513