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<p>Hybrid AC–DC microgrid systems have recently emerged as a promising method for connecting AC loads with AC microgrid (ACM) and DC loads with DC microgrid (DCM). The bidirectional power converter (BPC) allows the AC–DC microgrid to distribute power between the ACM and DCM. Effective supervisory power sharing and robust control methods are needed to share power among the AC–DC microgrid sources and ensure seamless operation during different uncertain conditions. Also, suitable islanding and grid synchronization techniques are needed to connect and disconnect the microgrid with the utility grid seamlessly. In this study, an optimal power management strategy is considered for the sharing of power among the sources. To implement the optimal power management, a robust optimization problem for a restricted data set is used. The goal of optimization is to distribute power while maximizing the use of renewable energy, minimizing the use of conventional energy, and using minimal energy transfer through the BPC. To achieve robust control commitment during the parameter uncertainty, a nested loop robust control scheme is considered. To achieve the islanding detection and grid synchronization, Synchro-Extraction Transform and Optimal Linear Kalman Filter-based methods are proposed, respectively. Considering different operational conditions and uncertainty scenarios, the performance and stability robustness of the proposed AC–DC microgrid system are analysed in MATLAB/SIMULINK.</p>

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Optimal power management and robust control scheme for AC–DC microgrid involving renewable and conventional sources

  • 期刊论文

  • 发表日期：

    2025年6月19日

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  • Parusharamulu Buduma,
  • Amrindra Pal,
  • Krishna Kumba,
  • Venkateswarlu Gundu,
  • Subbaramaiah K.

摘要

Hybrid AC–DC microgrid systems have recently emerged as a promising method for connecting AC loads with AC microgrid (ACM) and DC loads with DC microgrid (DCM). The bidirectional power converter (BPC) allows the AC–DC microgrid to distribute power between the ACM and DCM. Effective supervisory power sharing and robust control methods are needed to share power among the AC–DC microgrid sources and ensure seamless operation during different uncertain conditions. Also, suitable islanding and grid synchronization techniques are needed to connect and disconnect the microgrid with the utility grid seamlessly. In this study, an optimal power management strategy is considered for the sharing of power among the sources. To implement the optimal power management, a robust optimization problem for a restricted data set is used. The goal of optimization is to distribute power while maximizing the use of renewable energy, minimizing the use of conventional energy, and using minimal energy transfer through the BPC. To achieve robust control commitment during the parameter uncertainty, a nested loop robust control scheme is considered. To achieve the islanding detection and grid synchronization, Synchro-Extraction Transform and Optimal Linear Kalman Filter-based methods are proposed, respectively. Considering different operational conditions and uncertainty scenarios, the performance and stability robustness of the proposed AC–DC microgrid system are analysed in MATLAB/SIMULINK.