Work

Hybrid vector modulated model predictive control of bidirectional voltage source converter under unbalanced grid voltages

Year: 2026

Type: article

Abstract: For the power control problem of a bidirectional voltage-source converter, because only one voltage vector is applied at each control period, the traditional model predictive direct power control strategy brings in high harmonic content. In this paper, a hybrid vector-modulation model predictive direct power control scheme is developed to address the high harmonic distortion issue under unbalanced grid conditions. Based on the instantaneous power theory, the expression for the power fluctuation is derived under unbalanced grid voltages. The new reference power under unbalanced grid voltages is represented by the αβ components of the grid voltages and their orthogonal signals lagging by 90∘. By means of the proposed strategy, neither the phase-locked loops nor the sequence extraction of the grid voltages are required. In addition, the optimal voltage vector is selected from eighteen alternative hybrid voltage vectors to further improve control performance. The effectiveness of the proposed strategy is verified through real-time simulations conducted on an RT-LAB hardware-in-the-loop platform.

Source: Systems Science & Control Engineering

DOI: 10.1080/21642583.2026.2646384

Authors: Zhichao Zhao, Licheng Wang, Jin Xiong, Zahoor Ahmed

Institution: Shanghai University of Electric Power

Language: English

Topic: Multilevel Inverters and Converters

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: gold

Estimated APC paid: $1,165