Low-Voltage Ride-Through Technology of Distributed Photovoltaic Inverters Based on Model Predictive Current Control

Authors

  • Yusen Cheng Hubei University of Technology Detroit Green Technology Institute, Wuhan 430068, Hubei, China
  • Tao Li Wuhan Yingding Qizhi Xuzhan Education Consulting Co., Ltd, Wuhan, Hubei, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.4125

Keywords:

Model Predictive Current Control, Photovoltaic Inverter, Low-Voltage Ride-Through, Grid-Connected Converter, DC-Link Stability

Abstract

This paper proposes a low-voltage ride-through (LVRT) control strategy for distributed photovoltaic (PV) inverters based on model predictive current control (MPCC). A complete system model is established from the three-phase L-filter plant to its dq-frame representation, followed by discrete-time prediction and switching-state optimization. An LVRT-oriented current reference allocation mechanism is integrated to enable rapid active power curtailment and dynamic reactive injection during grid voltage sags. Unlike conventional PI–SVPWM schemes, the proposed MPCC directly evaluates all voltage vectors each sampling period, eliminating cascaded loops and improving transient response. Simulation studies verify that the method ensures stable current tracking under deep voltage disturbances, reduces harmonic distortion, suppresses DC-link fluctuations, and achieves fast post-fault recovery. A 1 kW hardware prototype further demonstrates real-time feasibility, achieving sub-millisecond dynamic reaction, low THD during LVRT, and significantly reduced overshoot compared with PI-controlled benchmarks. These results confirm that MPCC provides an effective and robust LVRT solution for modern grid-connected PV systems, offering improved dynamic performance, enhanced power quality, and strong grid-code compliance.

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Author Biographies

Yusen Cheng, Hubei University of Technology Detroit Green Technology Institute, Wuhan 430068, Hubei, China

Yusen Cheng, male, he is of Han ethnicity and originates from Jining, Shandong Province. Currently, he is an undergraduate student at Detroit Green Industry College, Hubei University of Technology, which is located in Wuhan, Hubei Province, China.

Tao Li, Wuhan Yingding Qizhi Xuzhan Education Consulting Co., Ltd, Wuhan, Hubei, China

Tao Li, holds a Master’s Degree. He graduated from Wuhan University, majoring in Software Engineering with a research focus on Mathematical Art. At present, he is employed by Wuhan Yingding Qizhi Xuzhan Education Consulting Co., Ltd.

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Published

2026-04-05

How to Cite

Cheng, Y. ., & Li, T. . (2026). Low-Voltage Ride-Through Technology of Distributed Photovoltaic Inverters Based on Model Predictive Current Control. Distributed Generation &Amp; Alternative Energy Journal, 41(02), 355–386. https://doi.org/10.13052/dgaej2156-3306.4125

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Section

Renewable Power & Energy Systems