Integral Quadratic Constraint Based Framework for Robust<italic style="font-style: italic"> </italic>Control Synthesis and Analysis in Microgrid

Sharara Rehimi; Hassan Bevrani

doi:10.35833/MPCE.2025.000832

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Integral Quadratic Constraint Based Framework for Robust Control Synthesis and Analysis in Microgrid

Original Paper | 更新时间：2026-09-28

- Integral Quadratic Constraint Based Framework for Robust Control Synthesis and Analysis in Microgrid
- Integral Quadratic Constraint Based Framework for Robust Control Synthesis and Analysis in Microgrid
- MPCE 2026年14卷第5期页码：1833-1844
- 作者机构：
  
  Smart/Micro Grids Research Center, Department of Electrical Engineering, University of Kurdistan, Sanandaj, Iran
- 作者简介：
  
  Sharara Rehimi received the B.Sc. degree in power engineering from the University of Ilam, Ilam, Iran, in 2017, the M.Sc. degree in power electronics from the University of Kurdistan, Sanandaj, Iran, in 2019, and the Ph.D. degree in control engineering from Nagoya University, Nagoya, Japan, and Waseda University, Tokyo, Japan, through the Power Energy Professionals program in 2025. She has also been affiliated as an Assistant Researcher with the Smart/Micro Grids Research Center (SMGRC) at the University of Kurdistan and worked as an Invited Researcher at Doshisha University, Kyoto, Japan. Her research interests include operation of power converters in modern power grid, dynamics and control of power grid, and application of advanced and robust control techniques in power electronics. Email:Sharara.rehimi@uok.ac.ir
  Hassan Bevrani received the Ph.D. degree in electrical engineering from Osaka University, Osaka, Japan, in 2004. Currently, he is a Full Professor and the Founder of Micro/Smart Grids Research Center (SMGRC) at the University of Kurdistan, Sanandaj, Iran. Over the years, he has worked as a Senior Research Fellow and Visiting Professor at Osaka University, Kumamoto University, Kumamoto, Japan, Kyushu Institute of Technology, Kitakyushu, Japan, Doshisha University, Kyoto, Japan, Nagoya University, Nagoya, Japan, Queensland University of Technology, Brisbane, Australia, Centrale Lille, Lille, France, Technical University of Berlin, Berlin, Germany, and Shenyang University of Technology, Shenyang, China. His current research interests include microgrid operation and control, power system stability, and intelligent and robust control application in power industry. Email:bevrani@uok.ac.ir
- 基金信息：
- DOI：10.35833/MPCE.2025.000832
  中图分类号：
- 收稿：2025-09-04，
  
  修回：2026-01-17，
  
  录用：2026-03-10，
  
  网络首发：2026-04-27，
  
  纸质出版：2026-09-15
- 稿件说明：
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Sharara Rehimi, Hassan Bevrani. Integral Quadratic Constraint Based Framework for Robust Control Synthesis and Analysis in Microgrid[J]. MPCE, 2026,14(5):1833-1844. DOI: 10.35833/MPCE.2025.000832.

Rehimi Sharara,Bevrani Hassan.Integral Quadratic Constraint Based Framework for Robust Control Synthesis and Analysis in Microgrid[J].Journal of Modern Power Systems and Clean Energy,2026,14(05):1833-1844.
Sharara Rehimi, Hassan Bevrani. Integral Quadratic Constraint Based Framework for Robust Control Synthesis and Analysis in Microgrid[J]. MPCE, 2026,14(5):1833-1844. DOI: 10.35833/MPCE.2025.000832. DOI：

Rehimi Sharara,Bevrani Hassan.Integral Quadratic Constraint Based Framework for Robust Control Synthesis and Analysis in Microgrid[J].Journal of Modern Power Systems and Clean Energy,2026,14(05):1833-1844. DOI： 10.35833/MPCE.2025.000832.

摘要

Abstract

The transition to sustainable energy systems demands robust and reliable control strategies to ensure stability and performance under dynamic and uncertain conditions. This paper presents an integral quadratic constraint (IQC) based framework for robust control synthesis and analysis in a microgrid

with guarantees of robust st

ability and performance. The IQC theory offers a powerful mathematical framework for analyzing the impact of uncertainties and nonlinearities in energy systems

providing more generalized and flexible tools compared to the widely used structured singular value i.e.

-synthesis. The application in the microgrid control system synthesis demonstrates the superior performance and robustness of the proposed IQC-based framework in the presence of parameter variations and exogenous disturbances. This paper bridges the gap between advanced control theory and its practical applications in microgrids

offering a new perspective for researchers and stakeholders seeking innovative solutions for the control system design and analysis.

关键词

Keywords

references

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Integral Quadratic Constraint Based Framework for Robust Control Synthesis and Analysis in Microgrid

Integral Quadratic Constraint Based Framework for Robust Control Synthesis and Analysis in Microgrid

DOI：10.35833/MPCE.2025.000832

摘要

Abstract

关键词

Keywords

references