Robust PID Control Against Nonlinear Uncertainties in Modern Power Systems with Microgrids

This paper investigates the problem of robust PID control for nonlinear power systems with uncertainties. In this paper, we analyze the challenges posed by nonlinearities and uncertainties in power systems, as well as the limitations of traditional linearization methods. On this basis, a PID control design method is proposed, which utilizes only the Lipschitz constant information of the nonlinear uncertainties to achieve global stability control for the power systems. The paper provides a rigorous mathematical foundation to demonstrate the effectiveness and robustness of the controller. Finally, simulation studies are conducted to validate and evaluate the performance of the proposed model, algorithm, and controller design.

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Publication Details

Published
2024-10-13
DOI
https://doi.org/10.1109/naps61145.2024.10741845
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.33

Funders

Controls
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article

Robust PID Control Against Nonlinear Uncertainties in Modern Power Systems with Microgrids

Feng Lin, Shuo Yuan, Le Yi Wang, Caisheng Wang
1 citations
Microgrid Control and Optimization
0.33
article

Robust PID Control Against Nonlinear Uncertainties in Modern Power Systems with Microgrids

Feng Lin, Shuo Yuan, Le Yi Wang, Caisheng Wang
article en
1 citations

Abstract

This paper investigates the problem of robust PID control for nonlinear power systems with uncertainties. In this paper, we analyze the challenges posed by nonlinearities and uncertainties in power systems, as well as the limitations of traditional linearization methods. On this basis, a PID control design method is proposed, which utilizes only the Lipschitz constant information of the nonlinear uncertainties to achieve global stability control for the power systems. The paper provides a rigorous mathematical foundation to demonstrate the effectiveness and robustness of the controller. Finally, simulation studies are conducted to validate and evaluate the performance of the proposed model, algorithm, and controller design.

Wayne State University (US)
National Science Foundation, U.S. Department of Energy, Division of Electrical, Communications and Cyber Systems, Solar Energy Technologies Office
Affordable and clean energy
Openalex Percentile: Top 40%
Microgrid Control and Optimization
0.33
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Robust PID Control Against Nonlinear Uncertainties in Modern Power Systems with Microgrids — Feng Lin, Shuo Yuan, et al. · (2024) | TGRS Research Map | TGRS