Two-Step Mpc Vector-Screening Prediction Method Based on Vsg

With the development of new energy technologies and the large-scale grid connection of grid-connected inverters, the performance and stability of inverters in response to grid frequency and voltage disturbances have received increasing attention. This paper proposes a two-step voltage sector-divided vector-screening predictive method for three-level LC-type grid-tied inverters based on Virtual Synchronous GeneratorModel Predictive Control (VSG-MPC) technology. This method utilizes damping and inertia characteristics to effectively handle grid frequency and voltage disturbances. At the same time, based on single-step prediction, the vector screening is further improved. By dividing the sectors into large and small ones, the 27 candidate predictive vectors are reduced to 4 to 5 vectors for two-step prediction, which greatly improves the prediction speed and solves the delay problem existing in single-step prediction. It is of great significance for maintaining the stability of the output voltage. Simulation results show that the proposed method has reliable output and anti-interference capabilities, verifying the correctness and effectiveness of the method.

Authors

Institutions

Publication Details

Published
2025-06-05
DOI
https://doi.org/10.1109/precede63178.2025.11131042
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Two-Step Mpc Vector-Screening Prediction Method Based on Vsg

José Rodríguez, Cristian García, Mingdi Fan, Haoran Feng et al.
Radiomics and Machine Learning in Medical Imaging
article

Two-Step Mpc Vector-Screening Prediction Method Based on Vsg

José Rodríguez, Cristian García, Mingdi Fan, Haoran Feng, Wei Li, Yong Yang, Junhao Lu, H. Peng, Qingwei Geng, Yong Tang
article en

Abstract

With the development of new energy technologies and the large-scale grid connection of grid-connected inverters, the performance and stability of inverters in response to grid frequency and voltage disturbances have received increasing attention. This paper proposes a two-step voltage sector-divided vector-screening predictive method for three-level LC-type grid-tied inverters based on Virtual Synchronous GeneratorModel Predictive Control (VSG-MPC) technology. This method utilizes damping and inertia characteristics to effectively handle grid frequency and voltage disturbances. At the same time, based on single-step prediction, the vector screening is further improved. By dividing the sectors into large and small ones, the 27 candidate predictive vectors are reduced to 4 to 5 vectors for two-step prediction, which greatly improves the prediction speed and solves the delay problem existing in single-step prediction. It is of great significance for maintaining the stability of the output voltage. Simulation results show that the proposed method has reliable output and anti-interference capabilities, verifying the correctness and effectiveness of the method.

University of Talca (CL), San Sebastián University (CL), Soochow University (CN), China Electric Equipment Group (China) (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 68%
Radiomics and Machine Learning in Medical Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.