混合量子-经典随机编程用于城市社区的5G基站和光伏发电站的联合规划
Yue Xu1, Xutao Han1, Renjie Luo1
1College of Electrical Engineering, Zhejiang University, Hangzhou, China.
Scientific reports
|November 29, 2025
概括
本研究引入了一种混合量子-经典方法,用于规划第五代基站 (5G BS) 和光伏发电厂 (PV). 该方法显著降低了成本,促进了光伏使用,并降低了城市基础设施的电力开支.
科学领域:
- 优化技术的优化技术
- 可持续的城市基础设施
- 实现可再生能源的整合.
背景情况:
- 与在城市地区部署第五代基站 (5G BS) 相关的电力成本上升.
- 分布式光伏发电厂 (PVs) 为降低能源成本和最大限度地减少可再生能源削减提供了解决方案.
研究的目的:
- 为5GBS和PVs的共同规划提出一种混合量子-经典的两阶段随机编程方法.
- 优化综合城市能源系统的部署和运营性能.
主要方法:
- 在第一阶段使用热启动量子回火来确定5G BS位置和容量.
- 在第二阶段使用数据包裹分析 (DEA) 来评估和提高集成BS-PV系统的运行性能.
主要成果:
- 与传统方法相比,总规划成本减少了三分之一.
- 增加了12.53%的光伏 (PV) 使用率,并降低了51.04%的电力成本.
- 演示了计算效率的5.4倍以上的改善.
结论:
- 拟议的混合方法为城市基础设施规划提供了显著的技术和实际优势.
- 通过优化5G BS和光伏集成,支持具有成本效益的低碳发展.
- 验证了量子经典方法在应对复杂的能源系统规划挑战中的有效性.
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