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<p>This study introduces a novel Nonlinear Fuzzy Sliding Mode Control (NFLSMC) strategy tailored for Decentralized Controlled Loads (DCLs) within Hybrid Sustainable Energy Multi-Area Power Systems (HSEPSs). DCLs emerge as a cost-efficient alternative to more costly energy storage solutions, yet the inherent nonlinearity, variability, and unpredictability of HSEPSs necessitate a robust energy management system. The NFLSMC strategy innovatively merges nonlinear sliding mode control with fuzzy logic to adeptly navigate system nonlinearities and enhance the system’s response to variable uncertainties, such as those arising from wind power fluctuations and changing load demands. A MATLAB-based simulation model was developed to compare the NFLSMC with traditional Fuzzy logic Controller under three distinct scenarios involving operational disturbances and inter-zone connectivity issues. The NFLSMC significantly outperformed the FLC, reducing maximum overshoot from 84.3% to 6.8%, lowering ITAE and IAE metrics by over 40%, and achieving lower ISV values. These results demonstrate enhanced dynamic response and superior energy efficiency, highlighting NFLSMC’s potential as a scalable and reliable solution for modern multi-area microgrids.</p>

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Advance Control Strategies for Hybrid Energy Microgrids Using Nonlinear Fuzzy Sliding Mode to Integrate Multi-Area Power Systems

  • 期刊论文

  • 发表日期：

    2026年3月31日

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  • Muhammad Zubair Bhayo,
  • Yang Han,
  • Kalsoom Bhagat

摘要

This study introduces a novel Nonlinear Fuzzy Sliding Mode Control (NFLSMC) strategy tailored for Decentralized Controlled Loads (DCLs) within Hybrid Sustainable Energy Multi-Area Power Systems (HSEPSs). DCLs emerge as a cost-efficient alternative to more costly energy storage solutions, yet the inherent nonlinearity, variability, and unpredictability of HSEPSs necessitate a robust energy management system. The NFLSMC strategy innovatively merges nonlinear sliding mode control with fuzzy logic to adeptly navigate system nonlinearities and enhance the system’s response to variable uncertainties, such as those arising from wind power fluctuations and changing load demands. A MATLAB-based simulation model was developed to compare the NFLSMC with traditional Fuzzy logic Controller under three distinct scenarios involving operational disturbances and inter-zone connectivity issues. The NFLSMC significantly outperformed the FLC, reducing maximum overshoot from 84.3% to 6.8%, lowering ITAE and IAE metrics by over 40%, and achieving lower ISV values. These results demonstrate enhanced dynamic response and superior energy efficiency, highlighting NFLSMC’s potential as a scalable and reliable solution for modern multi-area microgrids.