智能配送网络的高效自我修复框架
Fadheelah Meteab1,2, Behrouz Tousi1, Muammer Omran3,4
1Department of Electrical Engineering, Urmia University, Urmia, 5756151818, Iran.
Scientific reports
|August 24, 2025
概括
这项研究引入了智能电网的自我修复系统,提高了可靠性,减少了故障后的电力损失. 它使用先进的算法进行最佳的网络重新配置和分布式生成.
科学领域:
- 电气工程
- 电力系统工程
- 智能电网技术
背景情况:
- 智能分销网络需要强大的自我修复能力来保持可靠性.
- 电力系统的故障导致服务中断和电力损失增加.
研究的目的:
- 开发和验证智能分销网络的自我修复系统.
- 将故障检测,隔离和电源恢复与最佳网络重新配置相结合.
- 为了提高电压稳定性和运行效率.
主要方法:
- 在负载流量分析中使用了向后/向前扫描方法.
- 使用粒子集群优化来实现分布式发电机的最佳尺寸和位置.
- 使用 MATLAB/Simulink 和 CYME 在 IEEE 33 总线辐射分布系统上验证了系统.
主要成果:
- 在故障后实现快速服务恢复时间.
- 通过整合两个分布式发电机来减少电力损失.
- 显示了网络的最低电压情况的改善.
结论:
- 拟议的自我修复系统显著提高了网络可靠性和客户服务.
- 分布式发电机的集成提高了电压稳定性,减少了功率损失.
- 该系统为现代智能电网投资提供了可行和实用的解决方案.
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