计及能量共享的5G基站电能实时调度优化策略

刘迪迪; 杨玉荟; 肖佳文; 杨益菲; 程鹏鹏; 张泉景

doi:10.19665/j.issn1001-2400.20230101

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计及能量共享的5G基站电能实时调度优化策略

信息与通信工程 & 计算机科学与技术 | 更新时间：2023-11-30

- 计及能量共享的5G基站电能实时调度优化策略
- 暂无标题
- 西安电子科技大学学报 2023年50卷第5期页码：44-53
- 作者机构：
  
  1. 广西师范大学电子与信息工程学院,广西桂林 541004
  2. 西华师范大学教育信息技术中心,四川南充 637001
- 作者简介：
  
  [ "刘迪迪(1980—),女,副教授,E-mail:[email protected];" ]
  [ "杨玉荟(1997—),女,广西师范大学硕士研究生,E-mail:[email protected];" ]
  [ "肖佳文(1996—),男,广西师范大学硕士研究生,E-mail:[email protected];" ]
  [ "杨益菲(1998—),女,广西师范大学硕士研究生,E-mail:[email protected];" ]
  [ "程鹏鹏(1997—),男,广西师范大学硕士研究生,E-mail:[email protected]" ]
  张泉景(1994—),男,助教,E-mail:[email protected]
- 基金信息：
  
  国家自然科学基金项目(62061006);广西自动检测技术与仪器重点实验室基金(YQ23203);南充市社科规划项目(NC23C280);青年教师科研资助项目(23kq004)
- DOI：10.19665/j.issn1001-2400.20230101
  中图分类号：
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刘迪迪, 杨玉荟, 肖佳文, 等. 计及能量共享的5G基站电能实时调度优化策略[J]. 西安电子科技大学学报, 2023,50(5):44-53.
刘迪迪, 杨玉荟, 肖佳文, 等. 计及能量共享的5G基站电能实时调度优化策略[J]. 西安电子科技大学学报, 2023,50(5):44-53. DOI： 10.19665/j.issn1001-2400.20230101.

DOI：

摘要

为缓解第5代移动通信基站的巨大能耗导致的电网供电压力,联合分布式可再生能源、能量共享与能量存储提出了一个以最小化网络运营商的长期购电成本为目标的调度优化模型。综合考虑在可再生能源出力、各基站能量需求以及智能电网中的时变电价等先验统计信息均为未知的情况下,基于李雅普诺夫(Lyapunov)优化理论提出了一种低复杂度的第5代移动通信(5G)基站能量共享实时调度算法。在优化问题求解中将基站的柔性电能需求构造虚拟队列,并将基站储能时间耦合约束转化为虚拟队列稳定性问题,所提算法通过实时调度基站的产能、储能、用能和基站间的能量共享,在满足各基站用电需求的前提下,最小化网络运营商从外部电网购电的长期成本。理论分析表明,所提算法只需要根据当前系统状态进行实时决策,且优化结果能无限渐近最优值。仿真结果表明,所提出的算法可以有效地减少网络运营商的购电成本,相比基准贪婪算法1,购电成本可降低约43.1%。

Abstract

To alleviate the pressure on society's power supply caused by the huge energy consumption of the 5th generation mobile communication (5G) base stations,a joint distributed renewables,energy sharing and energy storage model is proposed with the objective of minimizing the long-term power purchase cost for network operators.A low-complexity real-time scheduling algorithm for energy sharing based on the Lyapunov optimization theory is proposed,taking into account the fact that the a priori statistical information on renewable energy output,energy demand and time-varying tariffs in smart grids are unknown.A virtual queue is constructed for the flexible electricity demand of the base stations in optimization problem solving.The energy storage time coupling constraint is transformed in the energy scheduling problem into a virtual queue stability problem.The proposed algorithm schedules the renewable energy output,energy storage,energy use and energy sharing of the base stations in real time,and minimizes the long-term cost of network operators purchasing power from the external grid on the premise of meeting the electricity demand of each base station.Theoretical analysis shows that all the proposed algorithm needs is to make real-time decisions based on the current system state and that the optimization result is infinitely close to the optimal value.Finally,simulation results show that the proposed algorithm can effectively reduce the power purchase cost of the network operator by 43.1% compared to the baseline greedy Algorithm One.

关键词

能量共享5G基站时变电价Lyapunov优化能量存储实时算法

Keywords

energy sharing5G base stationtime-varying priceLyapunov optimizationenergy storagereal-time algorithm

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