A Robust Harmonic Programmed Predictive Control for Medium Voltage Energy Conversion

Larger single-turbine capacity, offering lower total installation and maintenance costs per watt, has attracted significant attention in offshore wind energy generation. However, its limited switching frequency is a key problem, leading to degraded power quality and poor control dynamics. In this work, we propose a robust harmonic programmed predictive control (HP<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>C) technique. By utilizing precalculated optimized pulse sequences and a hybrid predictive control framework, the proposal reduces current distortion at a fixed switching frequency while achieving fast dynamics. Furthermore, a data-driven estimation and a second-order ultra-local model (ULM) are integrated into the proposal, reducing the sensitivity in system models and eliminating the need for complex manual compensation. Experimental data confirm the effectiveness.

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Publication Details

Journal
IEEE Transactions on Industrial Electronics
Published
2025-05-22
DOI
https://doi.org/10.1109/tie.2025.3566746
Primary Topic
Multilevel Inverters and Converters
Type
article
Field-Weighted Citation Impact
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article

A Robust Harmonic Programmed Predictive Control for Medium Voltage Energy Conversion

Yimin Zhang, Zhenbin Zhang, Zhen Li, Guangze Chen
IEEE Transactions on Industrial Electronics
Multilevel Inverters and Converters
article

A Robust Harmonic Programmed Predictive Control for Medium Voltage Energy Conversion

Yimin Zhang, Zhenbin Zhang, Zhen Li, Guangze Chen
article en

Abstract

Larger single-turbine capacity, offering lower total installation and maintenance costs per watt, has attracted significant attention in offshore wind energy generation. However, its limited switching frequency is a key problem, leading to degraded power quality and poor control dynamics. In this work, we propose a robust harmonic programmed predictive control (HP<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>C) technique. By utilizing precalculated optimized pulse sequences and a hybrid predictive control framework, the proposal reduces current distortion at a fixed switching frequency while achieving fast dynamics. Furthermore, a data-driven estimation and a second-order ultra-local model (ULM) are integrated into the proposal, reducing the sensitivity in system models and eliminating the need for complex manual compensation. Experimental data confirm the effectiveness.

IEEE Transactions on Industrial ElectronicsVol. 72(12)
Shandong University (CN)
Affordable and clean energy
Openalex Percentile: Top 91%
Multilevel Inverters and Converters
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