Meteab Fadheelah, Tousi Behrouz, Omran Muammer
Department of Electrical Engineering, Urmia University, Urmia, 5756151818, Iran.
Iraqi Cement State Company, Ministry of Industry and Minerals, Baghdad, 10011, Iraq.
Sci Rep. 2025 Aug 24;15(1):31124. doi: 10.1038/s41598-025-16929-y.
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.
这项工作提出了一种为智能配电网设计的自愈系统,该系统将故障检测、隔离和供电恢复与优化网络重构相结合。利用后向/前向潮流分析法进行潮流分析。采用粒子群优化算法确定分布式发电的容量和位置,以改善母线的电压分布。所提出的设计在IEEE 33节点辐射状配电网系统上使用MATLAB/Simulink和CYME软件进行了验证。仿真结果表明,故障后供电恢复时间迅速,两台分布式发电机投入运行后功率损耗降低,最低电压得到改善。这项工作提高了面向客户的网络可靠性、电压稳定性和运行效率,为现代智能电网投资提供了一种可行且实用的解决方案。