Fractional-Order Modeling and Control of HBCS-MG in Off-Grid State

Half-bridge converter series microgrid (HBCS-MG) is susceptible to a variety of uncertainties and disturbances during operation, and therefore, the use of the traditional integer-order models cannot accurately reflect the effects of environmental variations on internal components of the off-grid system, such as converters, filters, and loads, including factors like time delays, memory effects, and multi-scale coupling. The fractional-order control method is better equipped to deal with these disturbances, thereby enhancing the robustness and stability of the system. In the off-grid state, a fractional-order PI (FOPI) controller is employed for double-closed-loop control, and the load voltage feedforward control is utilized to offset the impact of load voltage fluctuations on the system. A new simplified equivalent circuit calculation method for the fractional-order inductor is proposed, and a complete fractional mathematical model of the system in the dq rotating coordinate system is established to obtain the transfer function between the load voltage and the input voltage. Furthermore, the impact of the fractional-order variation of the FOPI controllers and the fractional elements on system performance in the frequency domain and time domain is described in detail. The simulation results are compared with the theoretical analysis to demonstrate the accuracy of the mathematical model. The overshoot of the load voltage at the switching instant of 0.7 s is reduced by 4.2% compared with the integer-order PI controller, which proves that the fractional-order controller can improve the system control accuracy.

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Publication Details

Journal
Fractal and Fractional
Published
2025-03-26
DOI
https://doi.org/10.3390/fractalfract9040202
Primary Topic
Advanced Control Systems Design
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Fractional-Order Modeling and Control of HBCS-MG in Off-Grid State

Yingjie Ding, Lei Zhao, Xinggui Wang, Hailiang Wang et al.
Fractal and Fractional
Advanced Control Systems Design
article

Fractional-Order Modeling and Control of HBCS-MG in Off-Grid State

Yingjie Ding, Lei Zhao, Xinggui Wang, Hailiang Wang, Jinjian Li
article en

Abstract

Half-bridge converter series microgrid (HBCS-MG) is susceptible to a variety of uncertainties and disturbances during operation, and therefore, the use of the traditional integer-order models cannot accurately reflect the effects of environmental variations on internal components of the off-grid system, such as converters, filters, and loads, including factors like time delays, memory effects, and multi-scale coupling. The fractional-order control method is better equipped to deal with these disturbances, thereby enhancing the robustness and stability of the system. In the off-grid state, a fractional-order PI (FOPI) controller is employed for double-closed-loop control, and the load voltage feedforward control is utilized to offset the impact of load voltage fluctuations on the system. A new simplified equivalent circuit calculation method for the fractional-order inductor is proposed, and a complete fractional mathematical model of the system in the dq rotating coordinate system is established to obtain the transfer function between the load voltage and the input voltage. Furthermore, the impact of the fractional-order variation of the FOPI controllers and the fractional elements on system performance in the frequency domain and time domain is described in detail. The simulation results are compared with the theoretical analysis to demonstrate the accuracy of the mathematical model. The overshoot of the load voltage at the switching instant of 0.7 s is reduced by 4.2% compared with the integer-order PI controller, which proves that the fractional-order controller can improve the system control accuracy.

Fractal and FractionalVol. 9(4)
Lanzhou University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 94%
Advanced Control Systems Design
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Fractional-Order Modeling and Control of HBCS-MG in Off-Grid State — Yingjie Ding, Lei Zhao, et al. · Fractal and Fractional (2025) | TGRS Research Map | TGRS