Enhanced SMC Using ESO in Energy Storage Conversion Systems

On the issue of inrush current during grid-connected/islanded mode transitions in energy storage converters. this paper proposes an improved sliding mode control (SMC) algorithm based on an Extended State Observer (ESO). Building upon a parallel operation structure utilizing both PQ control and Virtual Synchronous Generator (VSG) control with a shared inner current loop, the inner current loop controller is modified to employ the improved SMC with ESO. Firstly, an ESO is designed to perform real-time online observation and estimation of the output variables—namely the d-axis and q-axis currents ($i_{d}, i_{q}$)—along with various system disturbances. Subsequently, based on the obtained estimations, an improved SMC algorithm is utilized to design the system controller.Finally, simulation results demonstrate that, compared to conventional PI control and traditional SMC, the proposed method achieves significantly smaller current surges during mode transitions.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icetac65964.2025.11144140
Primary Topic
Microgrid Control and Optimization
Type
article
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Enhanced SMC Using ESO in Energy Storage Conversion Systems

Hai Wang, Quansheng Chen, Jia Li Ding, Rui Li et al.
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Microgrid Control and Optimization
article

Enhanced SMC Using ESO in Energy Storage Conversion Systems

Hai Wang, Quansheng Chen, Jia Li Ding, Rui Li, Guoli Li
article en

Abstract

On the issue of inrush current during grid-connected/islanded mode transitions in energy storage converters. this paper proposes an improved sliding mode control (SMC) algorithm based on an Extended State Observer (ESO). Building upon a parallel operation structure utilizing both PQ control and Virtual Synchronous Generator (VSG) control with a shared inner current loop, the inner current loop controller is modified to employ the improved SMC with ESO. Firstly, an ESO is designed to perform real-time online observation and estimation of the output variables—namely the d-axis and q-axis currents ($i_{d}, i_{q}$)—along with various system disturbances. Subsequently, based on the obtained estimations, an improved SMC algorithm is utilized to design the system controller.Finally, simulation results demonstrate that, compared to conventional PI control and traditional SMC, the proposed method achieves significantly smaller current surges during mode transitions.

Electric Power Research Institute (US), Anhui University (CN), North China Electric Power University (CN), China Electric Power Research Institute
Openalex Percentile: Top 71%
Microgrid Control and Optimization
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Enhanced SMC Using ESO in Energy Storage Conversion Systems — Hai Wang, Quansheng Chen, et al. · (2025) | TGRS Research Map | TGRS