Robust Reconstruction of Grid Frequency in Disturbed Converter-Based Power Systems by Takagi-Sugeno Fuzzy Approach

This study investigates the conversion of the proposed phase-locked loop design into the Takagi-Sugeno fuzzy model approach. Here, the Takagi-Sugeno fuzzy model is used to describe the nonlinear dynamics of the PLL system through fuzzy rules that summarize locally linear submodels. By applying the fuzzy model, the control performance of the PLL system can be further improved, and adaptability to different operating conditions can be enhanced. The work shows how state feedback and pole placement can be integrated into the Takagi-Sugeno fuzzy framework, enabling robust and precise frequency estimation under disturbed conditions. Simulations illustrate the effectiveness of the combined approach and highlight its potential for application in power systems.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.58895/ksp//1000174544-8
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Robust Reconstruction of Grid Frequency in Disturbed Converter-Based Power Systems by Takagi-Sugeno Fuzzy Approach

Horst Schulte, Ignacio Glenny Crende, Nico Goldschmidt
Microgrid Control and Optimization
article

Robust Reconstruction of Grid Frequency in Disturbed Converter-Based Power Systems by Takagi-Sugeno Fuzzy Approach

Horst Schulte, Ignacio Glenny Crende, Nico Goldschmidt
article en

Abstract

This study investigates the conversion of the proposed phase-locked loop design into the Takagi-Sugeno fuzzy model approach. Here, the Takagi-Sugeno fuzzy model is used to describe the nonlinear dynamics of the PLL system through fuzzy rules that summarize locally linear submodels. By applying the fuzzy model, the control performance of the PLL system can be further improved, and adaptability to different operating conditions can be enhanced. The work shows how state feedback and pole placement can be integrated into the Takagi-Sugeno fuzzy framework, enabling robust and precise frequency estimation under disturbed conditions. Simulations illustrate the effectiveness of the combined approach and highlight its potential for application in power systems.

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