计及通信负载与供电可靠性的5G基站储能与配电网协同优化调度

doi:10.16183/j.cnki.jsjtu.2021.542

上海交通大学学报 ›› 2023, Vol. 57 ›› Issue (7): 791-802.doi: 10.16183/j.cnki.jsjtu.2021.542

所属专题：《上海交通大学学报》2023年“新型电力系统与综合能源”专题

• 新型电力系统与综合能源 • 上一篇下一篇

计及通信负载与供电可靠性的5G基站储能与配电网协同优化调度

李俊双, 胡炎(), 邰能灵

上海交通大学电力传输与功率变换控制教育部重点实验室,上海 200240

收稿日期:2021-12-31 修回日期:2022-01-24 接受日期:2022-02-07 出版日期:2023-07-28 发布日期:2023-07-28
通讯作者: 胡炎 E-mail:yanhu@sjtu.edu.cn
作者简介:李俊双(1988-),硕士,从事电力系统优化运行研究.
基金资助:
国家重点研发计划(2019YFE0102900);自然科学重大项目(2019-01-07-00-02-E00044)

Collaborative Optimization Scheduling of 5G Base Station Energy Storage and Distribution Network Considering Communication Load and Power Supply Reliability

LI Junshuang, HU Yan(), TAI Nengling

Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China

Received:2021-12-31 Revised:2022-01-24 Accepted:2022-02-07 Online:2023-07-28 Published:2023-07-28
Contact: HU Yan E-mail:yanhu@sjtu.edu.cn

摘要/Abstract

摘要：

5G基站的电费成本已经成为阻碍5G通信技术发展的因素.通过盘活5G基站储能资源,以实现降低5G基站用电成本的目的.首先建立考虑通信负载的5G基站负荷模型和考虑5G基站对储能备用电量需求与配电网供电可靠性的5G基站储能容量可调度模型;提出了一种针对5G储能调度的充放电策略;建立了5G基站储能参与配电网协同优化调度的模型.通过不同方案对5G基站储能优化调度的经济性进行对比.算例分析结果表明,将5G基站闲置储能参与配电网统一优化调度,可在降低5G基站的用电成本的同时,缓解配电网供电压力,提高系统内新能源消纳率,实现通信运营商与电网之间的双赢.

关键词: 5G基站, 储能, 配电网, 可再生能源, 优化调度

Abstract:

The electricity cost of 5G base stations has become a factor hindering the development of the 5G communication technology. This paper revitalized the energy storage resources of 5G base stations to achieve the purpose of reducing the electricity cost of 5G base stations. First, it established a 5G base station load model considering the communication load and a 5G base station energy storage capacity schedulable model considering the energy storage backup power demand of the 5G base station and the power supply reliability of the distribution network. Then, it proposed a 5G energy storage charge and discharge scheduling strategy. It also established a model for 5G base station energy storage to participate in coordinated and optimized dispatching of the distribution network. Finally, it compared the economy of optimized dispatch of 5G base station energy storage of different schemes. The analysis results show that the participation of idle energy storage of 5G base stations in the unified optimized dispatch of the distribution network can reduce the electricity cost of 5G base stations, alleviate the pressure on the power supply of the distribution network, increase the rate of new energy consumption in the system, and realize a win-win situation between the communication operator and the grid.

Key words: 5G base station, energy storage, distribution network, renewable energy, optimal scheduling

中图分类号:

李俊双, 胡炎, 邰能灵. 计及通信负载与供电可靠性的5G基站储能与配电网协同优化调度[J]. 上海交通大学学报, 2023, 57(7): 791-802.

LI Junshuang, HU Yan, TAI Nengling. Collaborative Optimization Scheduling of 5G Base Station Energy Storage and Distribution Network Considering Communication Load and Power Supply Reliability[J]. Journal of Shanghai Jiao Tong University, 2023, 57(7): 791-802.

图/表 17

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U/%	P_AAU/W	P_BBU/W
0	663.0	330
10	738.6	319
20	797.5	319
30	856.9	319
50	956.8	325.8
100	1 175.4	325.8

节点	基站数量
11, 26, 33	1
2, 4, 5, 6, 9, 10, 12, 18, 27, 28	2
13, 16, 17	3
3, 7, 14, 22, 23, 25, 29	4
19, 21	5
20, 32	6
8	7
24, 20, 31	8

时段	c_buy/元	c_sell /元
0:00—7:00	0.425	0.225
7:00—10:00, 15:00—18:00, 22:00—0:00	0.725	0.425
10:00—15:00, 18:00—22:00	1.025	0.625

场景	5G基站通信负曲线	特点
密集城区		基站通信负载率较高; 9:00—23:00为运行活跃期; 9:00—13:00、15:00—23:00为负载高峰期
一般市区		基站通信负载率中等; 6:00—23:00为运行活跃期; 8:00—13:00、18:00—23:00为负载高峰期
开发区		基站通信负载率中等; 8:00—21:00为运行活跃期; 9:00—13:00、18:00—20:00为负载高峰期

方案	F_5G×10^-4/元	F_bat×10^-4/元	R_5G×10^-4/元	F×10^-4/元
1	5.156	0	0	5.156
2	4.438	0.168	0	4.616
3	5.156	0.040	0.989	4.105

计及通信负载与供电可靠性的5G基站储能与配电网协同优化调度

Collaborative Optimization Scheduling of 5G Base Station Energy Storage and Distribution Network Considering Communication Load and Power Supply Reliability

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图/表 17

参考文献 26

相关文章 15

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方案	弃风率/%	R_wt×10^-4/元	弃光率/%	R_pv×10^-4/元	网损率/%	R_Loss×10^-4/元	负荷方差
1	20.54	0.942	28.55	0.526	15.42	1.471	0.024 45
2	11.11	0.398	17.76	0.295	8.03	0.942	0.007 38
3	2.64	0.121	6.34	0.117	2.54	0.096	0.003 88

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