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A Novel Control Method for Active Power Sharing in Renewable-Energy-Based Micro Distribution Networks

Author

Listed:
  • Wael J. Abdallah

    (Department of Electric Power and Electromechanics, St. Petersburg Mining University, 199106 St. Petersburg, Russia)

  • Khurram Hashmi

    (Department of Electrical Engineering, University of Engineering and Technology, Lahore 54890, Pakistan
    School of Electrical and Electronic Engineering, University College Dublin, D04 V1W8 Dublin, Ireland)

  • Muhammad Talib Faiz

    (Department of Electronics and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China)

  • Aymen Flah

    (Energy Processes Environment and Electrical Systems Unit, National Engineering School of Gabes, University of Gabes, Gabes 6072, Tunisia)

  • Sittiporn Channumsin

    (Space Technology Research Center, Geo-Informatics and Space Technology Development Agency (GISTDA), Chonburi 20230, Thailand)

  • Mohamed A. Mohamed

    (Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia 61519, Egypt)

  • Denis Anatolievich Ustinov

    (Department of Electric Power and Electromechanics, St. Petersburg Mining University, 199106 St. Petersburg, Russia)

Abstract

The microgrid is an emerging trend in modern power systems. Microgrids consist of controllable power sources, storage, and loads. An elaborate control infrastructure is established to regulate and synchronize the interaction of these components. The control scheme is divided into a hierarchy of several layers, where each layer is composed of multi-agents performing their dedicated functions and arriving at a consensus of corrective values. Lateral and horizontal interaction of such multi-agents forms a comprehensive hierarchical control structure that regulates the microgrid operation to achieve a compendium of objectives, including power sharing, voltage, and frequency regulation. The success of a multi-agent-based control scheme is dependent on the health of the communication media that is used to relay measurements and control signals. Delays in the transmission of control signals result in an overall deterioration of the control performance and non-convergence. This paper proposes novel multi-agent moving average estimators to mitigate the effect of latent communication links and establishes a hierarchical control scheme incorporating these average estimators to accurately arrive at system values during communication delays. Mathematical models are established for the complete microgrid system to test the stability of the proposed method against conventional consensus-based methods. Case-wise simulation studies and lab-scale experimental verification further establish the efficacy and superiority of the proposed control scheme in comparison with other conventionally used control methods.

Suggested Citation

  • Wael J. Abdallah & Khurram Hashmi & Muhammad Talib Faiz & Aymen Flah & Sittiporn Channumsin & Mohamed A. Mohamed & Denis Anatolievich Ustinov, 2023. "A Novel Control Method for Active Power Sharing in Renewable-Energy-Based Micro Distribution Networks," Sustainability, MDPI, vol. 15(2), pages 1-24, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1579-:d:1035049
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    References listed on IDEAS

    as
    1. Mohamed, Mohamed A., 2022. "A relaxed consensus plus innovation based effective negotiation approach for energy cooperation between smart grid and microgrid," Energy, Elsevier, vol. 252(C).
    2. Felipe Ramos & Aline Pinheiro & Rafaela Nascimento & Washington de Araujo Silva Junior & Mohamed A. Mohamed & Andres Annuk & Manoel H. N. Marinho, 2022. "Development of Operation Strategy for Battery Energy Storage System into Hybrid AC Microgrids," Sustainability, MDPI, vol. 14(21), pages 1-26, October.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Ting Chen & Lei Gan & Sheeraz Iqbal & Marek Jasiński & Mohammed A. El-Meligy & Mohamed Sharaf & Samia G. Ali, 2023. "A Novel Evolving Framework for Energy Management in Combined Heat and Electricity Systems with Demand Response Programs," Sustainability, MDPI, vol. 15(13), pages 1-23, July.
    2. Xianyang Cui & Yulong Liu & Ding Yuan & Tao Jin & Mohamed A. Mohamed, 2023. "A Hierarchical Coordinated Control Strategy for Power Quality Improvement in Energy Router Integrated Active Distribution Networks," Sustainability, MDPI, vol. 15(3), pages 1-20, February.
    3. Xing Liu & Xiaojing Zhang & Aliasghar Baziar, 2023. "Hybrid Machine Learning and Modified Teaching Learning-Based English Optimization Algorithm for Smart City Communication," Sustainability, MDPI, vol. 15(15), pages 1-20, July.

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