Techno-Economic Evolution and Regional Configuration Differences of Direct Green Power Connection for Data Centers

Liu Min; Wei Qi; Chen Zhiyi; Xiao Zhihong; Jin Guangxiang

doi:10.11959/j.issn.1000-0801.DXKX260092

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Techno-Economic Evolution and Regional Configuration Differences of Direct Green Power Connection for Data Centers

更新时间：2026-05-11

- Techno-Economic Evolution and Regional Configuration Differences of Direct Green Power Connection for Data Centers
- Telecommunications Science (2026)
- 作者机构：
  
  国网经济技术研究院有限公司，北京，102209
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(72595830)
- DOI：10.11959/j.issn.1000-0801.DXKX260092
  CLC：
- Received：06 February 2026，
  
  Revised：2026-03-10，
  
  Accepted：09 April 2026，
- 稿件说明：
移动端阅览
Liu Min, Wei Qi, Chen Zhiyi, et al. Techno-Economic Evolution and Regional Configuration Differences of Direct Green Power Connection for Data Centers[J/OL]. Telecommunications Science, 2026.
DOI：

Liu Min, Wei Qi, Chen Zhiyi, et al. Techno-Economic Evolution and Regional Configuration Differences of Direct Green Power Connection for Data Centers[J/OL]. Telecommunications Science, 2026. DOI： 10.11959/j.issn.1000-0801.DXKX260092.

摘要

随着数据中心能耗与减排压力攀升，保障高可靠性下的经济性绿电直连成为关键。为进行广域视角下绿电占比（GEP）从低到高演进过程中的边际成本规律量化，构建集风光资源、分时电价与需量机制于一体的源网荷储协同优化模型，采用多场景敏感性分析方法，系统评估国内31个省级行政区在0%-100% GEP下的度电成本。研究发现：1）成本演化受“资源-电价”双重锚定，低GEP区间电价结构影响更显著；2）高GEP下存在“储能成本墙”效应，平抑长周期波动所需的储能刚性投资呈指数级攀升；3）绿电潜力呈空间错位，内蒙古等资源区具绝对成本优势，而江苏等负荷中心相对效益更高。研究揭示了电网灵活性调节的不可或缺性，为“东数西算”及差异化政策制定提供量化依据。

Abstract

As data center energy consumption and decarbonization pressures continue to intensify

achieving cost-effective Direct Green Power Connection while maintaining high reliability has become a critical priority. To quantify the marginal cost patterns along a macro-level transition in green electricity penetration (GEP) from low to high levels

a source–grid–load–storage coordinated optimization model integrating wind–solar resource profiles

time-of-use tariffs

and demand-charge mechanisms was developed. A multi-scenario sensitivity analysis approach was used

and the levelized cost of electricity (LCOE) for 31 provincial-level administrative regions under GEP levels from 0% to 100% was systematically evaluated. The results showed that: (1) cost trajectories are jointly anchored by the “resource–tariff” interplay

with tariff structures exerting a more pronounced influence in the low-GEP range; (2) a “storage cost wall” emerges at high GEP levels

where the rigid capital investment required to smooth long-cycle variability rises exponentially; and (3) green power potential is spatially misaligned—resource-rich regions such as Inner Mongolia exhibit an absolute cost advantage

whereas load centers such as Jiangsu deliver higher relative benefits. These findings underscored the indispensable role of grid flexibility in enabling high-GEP pathways and provide quantitative evidence to support the “East Data

West Computing” initiative and differentiated policy design.

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references

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维度空间 . 绿电全景分析 [EB/OL ] . ( 2025-10-15 )[ 2026-03-04 ] . https://mp.weixin.qq.com/s/76qUAySpo0ltSeHHjzcF7Q https://mp.weixin.qq.com/s/76qUAySpo0ltSeHHjzcF7Q .

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