IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i3p1043-d738861.html
   My bibliography  Save this article

Improved Optimal Control of Transient Power Sharing in Microgrid Using H-Infinity Controller with Artificial Bee Colony Algorithm

Author

Listed:
  • Mohammed Said Jouda

    (Department of Electronics and Communication Engineering, Yıldız Technical University, Esenler, Istanbul 34220, Turkey)

  • Nihan Kahraman

    (Department of Electronics and Communication Engineering, Yıldız Technical University, Esenler, Istanbul 34220, Turkey)

Abstract

The microgrid has two main steady-state modes: grid-connected mode and islanded mode. The microgrid needs a high-performance controller to reduce the overshoot value that affects the efficiency of the network. However, the high voltage value causes the inverter to stop. Thus, an improved power-sharing response to the transfer between these two modes must be insured. More important points to study in a microgrid are the current sharing and power (active or reactive) sharing, besides the match percentage of power sharing among parallel inverters and the overshoot of both active and reactive power. This article aims to optimize the power response in addition to voltage and frequency stability, in order to make this network’s performance more robust against external disturbance. This can be achieved through a self-tuning control method using an optimization algorithm. Here, the optimized droop control is provided by the H-infinity (H∞) method improved with the artificial bee colony algorithm. To verify the results, it was compared with different algorithms such as conventional droop control, conventional particle swarm optimization, and artificial bee colony algorithms. The implementation of the optimization algorithm is explained using the time domain MATLAB/SIMULINK simulation model.

Suggested Citation

  • Mohammed Said Jouda & Nihan Kahraman, 2022. "Improved Optimal Control of Transient Power Sharing in Microgrid Using H-Infinity Controller with Artificial Bee Colony Algorithm," Energies, MDPI, vol. 15(3), pages 1-26, January.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1043-:d:738861
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/3/1043/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/3/1043/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wilson Pavon & Esteban Inga & Silvio Simani & Maddalena Nonato, 2021. "A Review on Optimal Control for the Smart Grid Electrical Substation Enhancing Transition Stability," Energies, MDPI, vol. 14(24), pages 1-15, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bingyin Lei & Yue Ren & Huiyu Luan & Ruonan Dong & Xiuyuan Wang & Junli Liao & Shu Fang & Kaiye Gao, 2023. "A Review of Optimization for System Reliability of Microgrid," Mathematics, MDPI, vol. 11(4), pages 1-30, February.
    2. Hamid Saeed Khan & Attaullah Y. Memon, 2022. "Robust Output Feedback Control of the Voltage Source Inverter in an AC Microgrid," Energies, MDPI, vol. 15(15), pages 1-21, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wilson Pavon & Esteban Inga & Silvio Simani & Matthew Armstrong, 2023. "Optimal Hierarchical Control for Smart Grid Inverters Using Stability Margin Evaluating Transient Voltage for Photovoltaic System," Energies, MDPI, vol. 16(5), pages 1-16, March.
    2. Francisco Durán & Wilson Pavón & Luis Ismael Minchala, 2024. "Forecast-Based Energy Management for Optimal Energy Dispatch in a Microgrid," Energies, MDPI, vol. 17(2), pages 1-21, January.
    3. Miroslaw Parol & Jacek Wasilewski & Tomasz Wojtowicz & Bartlomiej Arendarski & Przemyslaw Komarnicki, 2022. "Reliability Analysis of MV Electric Distribution Networks Including Distributed Generation and ICT Infrastructure," Energies, MDPI, vol. 15(14), pages 1-34, July.
    4. Marvin Lema & Wilson Pavon & Leony Ortiz & Ama Baduba Asiedu-Asante & Silvio Simani, 2022. "Controller Coordination Strategy for DC Microgrid Using Distributed Predictive Control Improving Voltage Stability," Energies, MDPI, vol. 15(15), pages 1-15, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1043-:d:738861. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.