Enhancing Islanded Microgrid Resilience: Super-Twisting Algorithm with Hopf-based Inverter Synchronization

This paper presents super-twisting sliding mode control (ST-SMC) integrated with a Hopf oscillator for islanded microgrids. The ST-SMC is realized to reduce the effect of uncertainties due to parameter variation in coordination with the Hopf oscillator for synchronization among inverters. This approach provides robustness to the system and contributes overall system performance and enhances stability. The mathematical analysis and simulated results of this control technique are presented.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905347
Citations
1
Primary Topic
Islanding Detection in Power Systems
Type
article
Field-Weighted Citation Impact
0.21

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article

Enhancing Islanded Microgrid Resilience: Super-Twisting Algorithm with Hopf-based Inverter Synchronization

Deepak Fulwani, B. Bandyopadhyay, Dev Vrat Krishna, Rahul Noniya
1 citations
Islanding Detection in Power Systems
0.21
article

Enhancing Islanded Microgrid Resilience: Super-Twisting Algorithm with Hopf-based Inverter Synchronization

Deepak Fulwani, B. Bandyopadhyay, Dev Vrat Krishna, Rahul Noniya
article en
1 citations

Abstract

This paper presents super-twisting sliding mode control (ST-SMC) integrated with a Hopf oscillator for islanded microgrids. The ST-SMC is realized to reduce the effect of uncertainties due to parameter variation in coordination with the Hopf oscillator for synchronization among inverters. This approach provides robustness to the system and contributes overall system performance and enhances stability. The mathematical analysis and simulated results of this control technique are presented.

Indian Institute of Technology Jodhpur (IN)
Science and Engineering Research Board
Climate action
Openalex Percentile: Top 43%
Islanding Detection in Power Systems
0.21
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