适应基于的动态通信资源切割优化方法在中低压侧的智能配电网中
1College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.
Sensors (Basel, Switzerland)
|September 14, 2024
概括
这项研究优化了智能配电网中的通信资源配置,使用适合和网络实用性. 新的算法提高了服务成功率和资源利用率,以满足各种通信需求.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 网络优化 网络优化
背景情况:
- 新能源和智能技术的普及推动了智能配电网中设备间通信需求的增加.
- 现有的通信基础设施在支持不断增长的通信服务的多样性和数量方面面临挑战.
研究的目的:
- 为中低压智能配电网中有限的通信网络资源提出优化方法.
- 加强服务功能链的部署,以实现灵活的虚拟资源组合.
主要方法:
- 将分配网格建模为一个三域 (服务,逻辑,物理) 结构.
- 将问题转化为一个分层的双部分超图匹配问题.
- 开发两个匹配的优化算法:"商业域-逻辑域-物理域集成"和一个两阶段的方法.
主要成果:
- 提出的算法有效地解决了复杂的组合优化问题.
- 模拟结果显示,服务成功率显著提高.
- 证明了提高资源利用率和整体网络效用.
结论:
- 开发的优化方法对于在智能配电网中管理通信资源是有效的.
- 这些算法为各种各样的和庞大的通信服务需求提供了可扩展的解决方案.
- 适应和网络效用是优化智能电网通信网络的关键指标.
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