| Issue |
E3S Web Conf.
Volume 248, 2021
2021 3rd International Conference on Civil Architecture and Energy Science (CAES 2021)
|
|
|---|---|---|
| Article Number | 02031 | |
| Number of page(s) | 5 | |
| Section | Energy Technology Application and Energy Saving and Emission Reduction Research and Development | |
| DOI | https://doi.org/10.1051/e3sconf/202124802031 | |
| Published online | 12 April 2021 | |
The Analysis of Business Scenarios and Implementation Path of “5G+Source-network-load-storage ”multi-station integration
1 State Grid Hubei Research Institute of Economic and Technical, No. 227 Xudong Ave, Wuchang District, Wuhan, Hubei, China
2 State Grid Wuhan Power Supply Company, No. 1259 Qiuchang Ave, Jiangan District, Wuhan, Hubei, China
3 School of Economics and Management, Wuhan University, No.299 Bayi Ave, Wuchang District, Wuhan, Hubei, China
* Corresponding author: lisiwu_hb@sina.com.cn
With the gradual implementation of the country’s “new infrastructure” strategy, the market demand for infrastructure in strategic emerging industries such as 5G, data centers and electric vehicle charging has become more intense. The multi-station integration business that carried out by power grid companies can effectively meet market demand, avoid the repeated construction and investment problems of state-owned assets, and reduce the cost of operators, Internet enterprises and other customers of infrastructure construction. Combined with the current market demand and the development trend of emerging industries, this paper puts forward the concept of “5G-source network-load storage” multi-station integration which mainly focusing on digital services and energy services, studies the commercial application scenarios of “5G-source network-load storage” multi-station integration, analyzes its implementation optimization path, and provides a reference for power grid companies to accelerate multi-station integration business.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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