Research Article | | Peer-Reviewed

Improved Microgrid Controller with Robust Stability, Conjunction with PID Controllers

Received: 28 March 2025     Accepted: 15 April 2025     Published: 26 May 2025
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Abstract

Microgrids are gaining prominence as essential components of modern power systems, particularly in facilitating renewable energy integration and enhancing system resilience. However, the inherent complexity and dynamic behavior of microgrids present significant control challenges, including voltage stability, frequency regulation, and fault mitigation. This paper proposes an improved microgrid controller designed to ensure robust stability under varying and uncertain operating conditions. The controller integrates a Linear Matrix Inequality (LMI)-based design approach with Proportional-Integral-Derivative (PID) control strategies, enabling adaptive and efficient performance tuning. By employing the Lyapunov stability theory and Linear Quadratic Regulator (LQR) principles, the proposed controller minimizes control effort while maintaining system robustness in the presence of nonlinearities, parametric uncertainties, harmonic distortions, and dynamic load variations. Detailed modeling of both single-phase and three-phase microgrid systems is presented, incorporating critical components such as voltage source inverters (VSIs), LC filters, and transformers. The controller's design is validated through extensive simulations, evaluating its response to various real-world load conditions, including harmonic, non-linear, dynamic, asynchronous, and unknown loads. Results demonstrate the controller’s effectiveness in reducing Total Harmonic Distortion (THD), maintaining voltage and current stability, and enhancing system adaptability during faults and operational fluctuations. A comparative analysis with conventional controllers further underscores the improved controller's superior performance in ensuring stability and reliability. This study contributes a scalable and resilient control framework, well-suited for evolving smart grid environments and high-penetration renewable energy systems.

Published in Journal of Electrical and Electronic Engineering (Volume 13, Issue 3)
DOI 10.11648/j.jeee.20251303.11
Page(s) 116-130
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Microgrid, Robust Stability, PID Controllers, Frequency Regulation, System Resilience

References
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Cite This Article
  • APA Style

    Emon, A. E., Shawon, M., Molla, S., Nowajh, M. S. (2025). Improved Microgrid Controller with Robust Stability, Conjunction with PID Controllers. Journal of Electrical and Electronic Engineering, 13(3), 116-130. https://doi.org/10.11648/j.jeee.20251303.11

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    ACS Style

    Emon, A. E.; Shawon, M.; Molla, S.; Nowajh, M. S. Improved Microgrid Controller with Robust Stability, Conjunction with PID Controllers. J. Electr. Electron. Eng. 2025, 13(3), 116-130. doi: 10.11648/j.jeee.20251303.11

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    AMA Style

    Emon AE, Shawon M, Molla S, Nowajh MS. Improved Microgrid Controller with Robust Stability, Conjunction with PID Controllers. J Electr Electron Eng. 2025;13(3):116-130. doi: 10.11648/j.jeee.20251303.11

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  • @article{10.11648/j.jeee.20251303.11,
      author = {Asif Eakball Emon and Md Shawon and Sohan Molla and Md Sajib Nowajh},
      title = {Improved Microgrid Controller with Robust Stability, Conjunction with PID Controllers
    },
      journal = {Journal of Electrical and Electronic Engineering},
      volume = {13},
      number = {3},
      pages = {116-130},
      doi = {10.11648/j.jeee.20251303.11},
      url = {https://doi.org/10.11648/j.jeee.20251303.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20251303.11},
      abstract = {Microgrids are gaining prominence as essential components of modern power systems, particularly in facilitating renewable energy integration and enhancing system resilience. However, the inherent complexity and dynamic behavior of microgrids present significant control challenges, including voltage stability, frequency regulation, and fault mitigation. This paper proposes an improved microgrid controller designed to ensure robust stability under varying and uncertain operating conditions. The controller integrates a Linear Matrix Inequality (LMI)-based design approach with Proportional-Integral-Derivative (PID) control strategies, enabling adaptive and efficient performance tuning. By employing the Lyapunov stability theory and Linear Quadratic Regulator (LQR) principles, the proposed controller minimizes control effort while maintaining system robustness in the presence of nonlinearities, parametric uncertainties, harmonic distortions, and dynamic load variations. Detailed modeling of both single-phase and three-phase microgrid systems is presented, incorporating critical components such as voltage source inverters (VSIs), LC filters, and transformers. The controller's design is validated through extensive simulations, evaluating its response to various real-world load conditions, including harmonic, non-linear, dynamic, asynchronous, and unknown loads. Results demonstrate the controller’s effectiveness in reducing Total Harmonic Distortion (THD), maintaining voltage and current stability, and enhancing system adaptability during faults and operational fluctuations. A comparative analysis with conventional controllers further underscores the improved controller's superior performance in ensuring stability and reliability. This study contributes a scalable and resilient control framework, well-suited for evolving smart grid environments and high-penetration renewable energy systems.
    },
     year = {2025}
    }
    

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  • TY  - JOUR
    T1  - Improved Microgrid Controller with Robust Stability, Conjunction with PID Controllers
    
    AU  - Asif Eakball Emon
    AU  - Md Shawon
    AU  - Sohan Molla
    AU  - Md Sajib Nowajh
    Y1  - 2025/05/26
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    DO  - 10.11648/j.jeee.20251303.11
    T2  - Journal of Electrical and Electronic Engineering
    JF  - Journal of Electrical and Electronic Engineering
    JO  - Journal of Electrical and Electronic Engineering
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    EP  - 130
    PB  - Science Publishing Group
    SN  - 2329-1605
    UR  - https://doi.org/10.11648/j.jeee.20251303.11
    AB  - Microgrids are gaining prominence as essential components of modern power systems, particularly in facilitating renewable energy integration and enhancing system resilience. However, the inherent complexity and dynamic behavior of microgrids present significant control challenges, including voltage stability, frequency regulation, and fault mitigation. This paper proposes an improved microgrid controller designed to ensure robust stability under varying and uncertain operating conditions. The controller integrates a Linear Matrix Inequality (LMI)-based design approach with Proportional-Integral-Derivative (PID) control strategies, enabling adaptive and efficient performance tuning. By employing the Lyapunov stability theory and Linear Quadratic Regulator (LQR) principles, the proposed controller minimizes control effort while maintaining system robustness in the presence of nonlinearities, parametric uncertainties, harmonic distortions, and dynamic load variations. Detailed modeling of both single-phase and three-phase microgrid systems is presented, incorporating critical components such as voltage source inverters (VSIs), LC filters, and transformers. The controller's design is validated through extensive simulations, evaluating its response to various real-world load conditions, including harmonic, non-linear, dynamic, asynchronous, and unknown loads. Results demonstrate the controller’s effectiveness in reducing Total Harmonic Distortion (THD), maintaining voltage and current stability, and enhancing system adaptability during faults and operational fluctuations. A comparative analysis with conventional controllers further underscores the improved controller's superior performance in ensuring stability and reliability. This study contributes a scalable and resilient control framework, well-suited for evolving smart grid environments and high-penetration renewable energy systems.
    
    VL  - 13
    IS  - 3
    ER  - 

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