A Novel Grid‐Connected Control Technique for Grid‐Configured Inverters Combining Sliding Mode Control and Predictive Control

ABSTRACT In order to reduce the impact of distributed grid integration on the grid and improve the stability of the grid, a combined sliding mode‐prediction control strategy for grid‐configuring inverters is proposed. Virtual synchronous generator (VSG) control, as a typical grid‐configuration technique, inevitably brings stability problems while providing inertia and damping support for the grid. Therefore, this method designs a modified sliding mode control in the outer loop of the VSG to adaptively adjust the inertia and damping, and introduces a model prediction control in the inner loop to control the output current reference value to follow the grid frequency. A simulation model is built on MATLAB/Simulink and compared with other two control methods, and the simulation results show that the strategy can be used to improve the inertia and stability of the grid with good damping performance.

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Publication Details

Journal
Electronics Letters
Published
2025-01-01
DOI
https://doi.org/10.1049/ell2.70223
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
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article

A Novel Grid‐Connected Control Technique for Grid‐Configured Inverters Combining Sliding Mode Control and Predictive Control

Jingjian Wang, Xuhong Yang
1 citations
Electronics Letters
Microgrid Control and Optimization
1.21
article

A Novel Grid‐Connected Control Technique for Grid‐Configured Inverters Combining Sliding Mode Control and Predictive Control

Jingjian Wang, Xuhong Yang
article en
1 citations

Abstract

ABSTRACT In order to reduce the impact of distributed grid integration on the grid and improve the stability of the grid, a combined sliding mode‐prediction control strategy for grid‐configuring inverters is proposed. Virtual synchronous generator (VSG) control, as a typical grid‐configuration technique, inevitably brings stability problems while providing inertia and damping support for the grid. Therefore, this method designs a modified sliding mode control in the outer loop of the VSG to adaptively adjust the inertia and damping, and introduces a model prediction control in the inner loop to control the output current reference value to follow the grid frequency. A simulation model is built on MATLAB/Simulink and compared with other two control methods, and the simulation results show that the strategy can be used to improve the inertia and stability of the grid with good damping performance.

Electronics LettersVol. 61(1)
Shanghai University of Electric Power (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 24%
Microgrid Control and Optimization
1.21
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