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<p>This work presents a self-healing system designed for smart distribution networks, integrating fault detection, isolation, and power restoration with optimal network reconfiguration. Leveraging the Backward/Forward Sweep method for load flow analysis. The Particle Swarm Optimization algorithm for distributed generation sizing and location is used to improve the voltage profile for buses. The proposed design is validated on the IEEE 33-bus radial distribution system using MATLAB/Simulink and CYME software. Simulation results demonstrate a swift service restoration time, a reduction in power losses post-fault with two distributed generators, and an improved minimum voltage. This work enhances network reliability for the customers, voltage stability, and operational efficiency, offering a feasible and practical solution for investment in modern smart grids.</p>

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Efficient self-healing framework for smart distribution networks

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月24日

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  • Fadheelah Meteab,
  • Behrouz Tousi,
  • Muammer Omran

摘要

This work presents a self-healing system designed for smart distribution networks, integrating fault detection, isolation, and power restoration with optimal network reconfiguration. Leveraging the Backward/Forward Sweep method for load flow analysis. The Particle Swarm Optimization algorithm for distributed generation sizing and location is used to improve the voltage profile for buses. The proposed design is validated on the IEEE 33-bus radial distribution system using MATLAB/Simulink and CYME software. Simulation results demonstrate a swift service restoration time, a reduction in power losses post-fault with two distributed generators, and an improved minimum voltage. This work enhances network reliability for the customers, voltage stability, and operational efficiency, offering a feasible and practical solution for investment in modern smart grids.