智能电网时变电价下基站的动态能量管理

doi:10.13190/j.jbupt.2018-320

北京邮电大学学报 ›› 2019, Vol. 42 ›› Issue (5): 54-61.doi: 10.13190/j.jbupt.2018-320

智能电网时变电价下基站的动态能量管理

刘迪迪^1,2, 马丽纳¹, 孙浩天¹, 胡聪²

1. 广西师范大学广西多源信息挖掘与安全重点实验室, 广西桂林 541004;
2. 桂林电子科技大学广西自动检测技术与仪器重点实验室, 广西桂林 541004

收稿日期:2018-12-28 出版日期:2019-10-28 发布日期:2019-11-25
作者简介:刘迪迪(1980-),女,副教授,E-mail:ldd866@gxnu.edu.cn.
基金资助:
广西自然科学基金项目（2018JJA170167）；广西科技基地和人才专项项目（2018AD19342）；广西师范大学博士启动+重点项目（2016ZD008，2018BQ012）；广西多源信息挖掘与安全重点实验室开放基金项目（MIMS17-05）；广西自动检测技术与仪器重点实验室开放基金项目（YQ18202）；广西研究生教育创新计划项目（XYCSZ2018083，XYCSZ2019072）

Research on Dynamic Energy Management for the Base Station Supplied by Smart Grid with Time-Varying Price

LIU Di-di^1,2, MA Li-na¹, SUN Hao-tian¹, HU Cong²

1. Guangxi Key Laboratory of Multi-Source Information Mining&Security, Guangxi Normal University, Guangxi Guilin 541004, China;
2. Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin University of Electronic Technology, Guangxi Guilin 541004, China

Received:2018-12-28 Online:2019-10-28 Published:2019-11-25

摘要/Abstract

摘要： 对于具有能量收集装置的基站，由于收集的能量具有随机性，为保证基站稳定运行，在智能电网作为基站能源补充的情况下，基于排队论和Lyapunov优化方法提出了基站非弹性能量需求和弹性能量需求2种情况下的动态能量管理算法.运用所提算法，基站可根据系统状态动态地选择在电价低时从智能电网适当购买能量存储在充电电池中，以备将来电价高且收集的能量不能满足需求时使用，从而减小基站的能耗成本.所提的动态能量管理算法复杂度低，不需要能量收集、基站能量需求、时变电价的先验统计信息.理论分析结果表明，所提算法可使基站的能耗成本无限接近最优值，且保证弹性能量需求情况下的时延不超过可容忍的期限.仿真结果验证了所提算法的有效性和电池容量大小对算法性能的影响.

关键词: 动态能量管理, 时变电价, Lyapunov优化, 能量收集

Abstract: A dynamic energy management scheme of the energy harvesting base station powered by the smart grid with time-varying price is proposed. Specially, it was assumed that the base stations(BSs) were equipped with energy harvesting device, and the free energy collected by this device from renewable sources were stored in battery for BSs to use in future. Due to the randomness of energy harvest, smart grid was taken as a supplement of energy to ensure the stable operation of BSs. Based on queuing theory and Lyapunov optimization method, a dynamic energy management algorithm was proposed for BSs under two conditions of inelastic energy demand and elastic energy demand. Based on the proposed algorithm, BSs can dynamically choose to purchase energy from smart grid at low price and store it in battery for using at high price for reducing the energy cost of BSs. The proposed dynamic energy management algorithm has low complexity and does not need prior statistical information of energy collection, energy demand and time-varying price. The theoretical analysis showed that the proposed algorithm performed arbitrarily close to the optimal objective value, meanwhile, it ensured that the time delay did not exceed the tolerable time. Finally, simulation results showed the validity of the algorithm. And the effect of battery capacity on the performance of the algorithm was analyzed.

Key words: dynamic energy management, time-varying price, Lyapunov optimization, energy harvesting

中图分类号:

TN92

刘迪迪, 马丽纳, 孙浩天, 胡聪. 智能电网时变电价下基站的动态能量管理[J]. 北京邮电大学学报, 2019, 42(5): 54-61.

LIU Di-di, MA Li-na, SUN Hao-tian, HU Cong. Research on Dynamic Energy Management for the Base Station Supplied by Smart Grid with Time-Varying Price[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(5): 54-61.

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智能电网时变电价下基站的动态能量管理

Research on Dynamic Energy Management for the Base Station Supplied by Smart Grid with Time-Varying Price

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