评估和优化对电力通信网络中感知服务的资源匹配
Lei Wei1, Linjiang Shang1, Min Zhang2
1State Grid Jiangsu Electric Power Co., Nanjing, 210003, China.
Scientific reports
|December 27, 2025
概括
本研究引入了一种新的适合法,以解决电力系统通信网络中供需不匹配的问题. 它优化了对感知服务的资源配置,提高了服务质量和资源利用率.
科学领域:
- * 信息科学 信息科学
- * 网络工程 网络工程
- * 动力系统 * 动力系统
背景情况:
- * 电力系统中的异质感知服务面临着资源 (计算,存储,带宽,电力) 的供需不匹配.
- * 服务质量 (QoS) 的限制,如延迟,可靠性和准确性加剧了这些不匹配.
- * 现有的方法与资源有限和动态网络条件作斗争.
研究的目的:
- * 提出一种智能方法来评估和优化电力信息和通信网络的感知服务效率.
- * 在 QoS 约束下统一测量和最大限度地减少供需不匹配.
- * 为了在资源有限,时间变化的网络中实现精确和高效的感知.
主要方法:
- *根据信息理论定义"适合",以量化服务需求与资源供应的匹配.
- * 构建一个三层匹配模型 (商业,逻辑,物理领域).
- * 开发一个具有关闭注意力的动态超图神经网络,以解决许多对许多匹配优化问题,使用适合作为超边缘权重.
主要成果:
- * 拟议的方法显著提高了感知服务的服务质量.
- * 实现了网络资源利用和服务适应性的有效平衡.
- *动态超图神经网络成功地映射了多种类型的服务请求,并优化了适合.
结论:
- * 适合法为管理电力系统网络资源配置提供了强大的框架.
- *动态超图神经网络为复杂的跨域优化问题提供了有效的解决方案.
- *这种方法提高了新电力系统中感知服务的效率和可靠性.
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