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

doi:10.16183/j.cnki.jsjtu.2021.542

Abstract

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

CLC Number:

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.

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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