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Efficient self-healing framework for smart distribution networks
Fadheelah Meteab1,2, Behrouz Tousi1, Muammer Omran3,4
1Department of Electrical Engineering, Urmia University, Urmia, 5756151818, Iran.
Scientific Reports
|August 24, 2025
Summary
This study introduces a self-healing system for smart grids, improving reliability and reducing power loss after faults. It uses advanced algorithms for optimal network reconfiguration and distributed generation placement.
Area of Science:
- Electrical Engineering
- Power Systems Engineering
- Smart Grid Technology
Background:
- Smart distribution networks require robust self-healing capabilities to maintain reliability.
- Faults in power systems lead to service disruption and increased power losses.
Purpose of the Study:
- To develop and validate a self-healing system for smart distribution networks.
- To integrate fault detection, isolation, and power restoration with optimal network reconfiguration.
- To enhance voltage stability and operational efficiency.
Main Methods:
- Utilized the Backward/Forward Sweep method for load flow analysis.
- Employed Particle Swarm Optimization for optimal sizing and placement of distributed generators.
- Validated the system on the IEEE 33-bus radial distribution system using MATLAB/Simulink and CYME.
Main Results:
- Achieved swift service restoration time post-fault.
- Demonstrated a reduction in power losses with the integration of two distributed generators.
- Showcased an improvement in the minimum voltage profile of the network.
Conclusions:
- The proposed self-healing system significantly enhances network reliability and customer service.
- The integration of distributed generators improves voltage stability and reduces power losses.
- The system offers a feasible and practical solution for modern smart grid investments.
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