Collaborative Optimization Scheduling of 5G Base Station Energy Storage and Distribution Network Considering Communication Load and Power Supply Reliability
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 b...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Shanghai Jiao Tong University
2023-07-01
|
| Series: | Shanghai Jiaotong Daxue xuebao |
| Subjects: | |
| Online Access: | https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-7-791.shtml |
| _version_ | 1797770616894390272 |
|---|---|
| author | LI Junshuang, HU Yan, TAI Nengling |
| author_facet | LI Junshuang, HU Yan, TAI Nengling |
| author_sort | LI Junshuang, HU Yan, TAI Nengling |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T21:25:48Z |
| format | Article |
| id | doaj.art-9023529736ac43a289747023f879213b |
| institution | Directory Open Access Journal |
| issn | 1006-2467 |
| language | zho |
| last_indexed | 2024-03-12T21:25:48Z |
| publishDate | 2023-07-01 |
| publisher | Editorial Office of Journal of Shanghai Jiao Tong University |
| record_format | Article |
| series | Shanghai Jiaotong Daxue xuebao |
| spelling | doaj.art-9023529736ac43a289747023f879213b2023-07-28T09:09:10ZzhoEditorial Office of Journal of Shanghai Jiao Tong UniversityShanghai Jiaotong Daxue xuebao1006-24672023-07-0157779180210.16183/j.cnki.jsjtu.2021.542Collaborative Optimization Scheduling of 5G Base Station Energy Storage and Distribution Network Considering Communication Load and Power Supply ReliabilityLI Junshuang, HU Yan, TAI Nengling0Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, ChinaThe 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.https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-7-791.shtml5g base stationenergy storagedistribution networkrenewable energyoptimal scheduling |
| spellingShingle | 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 Shanghai Jiaotong Daxue xuebao 5g base station energy storage distribution network renewable energy optimal scheduling |
| title | Collaborative Optimization Scheduling of 5G Base Station Energy Storage and Distribution Network Considering Communication Load and Power Supply Reliability |
| title_full | Collaborative Optimization Scheduling of 5G Base Station Energy Storage and Distribution Network Considering Communication Load and Power Supply Reliability |
| title_fullStr | Collaborative Optimization Scheduling of 5G Base Station Energy Storage and Distribution Network Considering Communication Load and Power Supply Reliability |
| title_full_unstemmed | Collaborative Optimization Scheduling of 5G Base Station Energy Storage and Distribution Network Considering Communication Load and Power Supply Reliability |
| title_short | Collaborative Optimization Scheduling of 5G Base Station Energy Storage and Distribution Network Considering Communication Load and Power Supply Reliability |
| title_sort | collaborative optimization scheduling of 5g base station energy storage and distribution network considering communication load and power supply reliability |
| topic | 5g base station energy storage distribution network renewable energy optimal scheduling |
| url | https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-7-791.shtml |
| work_keys_str_mv | AT lijunshuanghuyantainengling collaborativeoptimizationschedulingof5gbasestationenergystorageanddistributionnetworkconsideringcommunicationloadandpowersupplyreliability |