Research on Delay Compensation Algorithm for Model Predictive Current Control of Three-Phase Photovoltaic Grid-Connected Inverter

In predictive control, the Finite Control Set Model Predictive Control (FCS-MPC) approach relies heavily on system modeling. Its optimised performance, high precision, and structural simplicity are some of its boasts. Some loss of control performance is unavoidable when dealing with model uncertainties. A classic example of a model uncertainty, time delay has a major bearing on the reliability of predictions and the steadiness of the system as a whole. In order to significantly improve control accuracy, this paper applies a composite FCS-MPC method to grid-connected systems that is based on the fractional-order Smith predictor. Also, a phase-lead design is suggested to account for the Smith predictor's inherent time delay. The effectiveness of the studied method is showcased by simulation results under various conditions.

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Publication Details

Published
2024-11-08
DOI
https://doi.org/10.1109/isceic63613.2024.10810176
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.17
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Research on Delay Compensation Algorithm for Model Predictive Current Control of Three-Phase Photovoltaic Grid-Connected Inverter

Chongwei Han, Qing Wang, Ziqian Xu, Du Yan et al.
1 citations
Power Systems and Renewable Energy
0.17
article

Research on Delay Compensation Algorithm for Model Predictive Current Control of Three-Phase Photovoltaic Grid-Connected Inverter

Chongwei Han, Qing Wang, Ziqian Xu, Du Yan, Zhen Jing, Jian Yang
article en
1 citations

Abstract

In predictive control, the Finite Control Set Model Predictive Control (FCS-MPC) approach relies heavily on system modeling. Its optimised performance, high precision, and structural simplicity are some of its boasts. Some loss of control performance is unavoidable when dealing with model uncertainties. A classic example of a model uncertainty, time delay has a major bearing on the reliability of predictions and the steadiness of the system as a whole. In order to significantly improve control accuracy, this paper applies a composite FCS-MPC method to grid-connected systems that is based on the fractional-order Smith predictor. Also, a phase-lead design is suggested to account for the Smith predictor's inherent time delay. The effectiveness of the studied method is showcased by simulation results under various conditions.

State Grid Corporation of China (China) (CN), Shanghai Huayi Group (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 41%
Power Systems and Renewable Energy
0.17
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