数据中心绿电直连的技术经济性演化及区域配置差异分析

刘敏; 位祺; 陈之怡; 肖智宏; 金广祥

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

您当前的位置：

首页 >

文章列表页 >

数据中心绿电直连的技术经济性演化及区域配置差异分析

更新时间：2026-05-11

- 数据中心绿电直连的技术经济性演化及区域配置差异分析
- Techno-Economic Evolution and Regional Configuration Differences of Direct Green Power Connection for Data Centers
- 电信科学 2026年
- 作者机构：
  
  国网经济技术研究院有限公司，北京，102209
- 作者简介：
  
  刘敏（1987），女，硕士，高级工程师，研究方向为电力通信网规划、智能化规划等，E-mail:1054670168@qq.com；
  位祺，weiqi@chinasperi.sgcc.com
  陈之怡（1995），女，硕士，研究方向为电力系统信息通信、配电网通信规划等，邮箱：chen900750@163.com；
  肖智宏（1975），男，博士，教授级工程师，研究方向为电气自动化等，E-mail:LLxzh@sohu.com；
  金广祥（1980），男，硕士，高级工程师，研究方向电力通信网规划设计等，E-mail:jgx0507@163.com。
- 基金信息：
  
  国家自然科学基金资助项目(72595830)
- DOI：10.11959/j.issn.1000-0801.DXKX260092
  中图分类号：
- 收稿：2026-02-06，
  
  修回：2026-03-10，
  
  录用：2026-04-09，
- 稿件说明：
移动端阅览
刘敏, 位祺, 陈之怡, 等. 数据中心绿电直连的技术经济性演化及区域配置差异分析[J/OL]. 电信科学, 2026.

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.
刘敏, 位祺, 陈之怡, 等. 数据中心绿电直连的技术经济性演化及区域配置差异分析[J/OL]. 电信科学, 2026. DOI： 10.11959/j.issn.1000-0801.DXKX260092.

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.

关键词

Keywords

references

HAN T , WANG Y , MI Z , et al . Designing and regulating clean energy data centres [J ] . Nature Reviews Clean Technology , 2025 : 1 - 2 .

DURMUS SENYAPAR H N , BAYINDIR R . The Energy Hunger Paradox of Artificial Intelligence: End of Clean Energy or Magic Wand for Sustainability? [J ] . Sustainability , 2025 , 17 ( 7 ): 2887 .

WANG Y , HAN Y , HAN K , et al . Does DeepSeek curb the surge of energy consumption in data centers? [J ] . The Innovation , 2025 .

CAO Y , CHENG M , ZHANG S , et al . Data-driven flexibility assessment for internet data center towards periodic batch workloads [J ] . Applied Energy , 2022 , 324 : 119665 .

洪芦诚 , 王梓萩 , 林今 , 等 . 电-碳-绿证市场背景下电氢协同典型形态及参与模式研究综述 [J ] . 电工技术学报 , 2025 , 40 ( 23 ): 7498 - 7514 .

LI G , SUN Z , WANG Q , et al . China's green data center development: Policies and carbon reduction technology path [J ] . Environmental Research , 2023 , 231 : 116248 .

GNIBGA W E , BLAVETTE A , ORGERIE A-C . Renewable energy in data centers: the dilemma of electrical grid dependency and autonomy costs [J ] . IEEE transactions on sustainable computing , 2023 , 9 ( 3 ): 315 - 328 .

HAN Y , HAN K , LIN J , et al . Bi-level optimization and sustainability assessment of data center integrated energy system based on emergy theory [J ] . Energy , 2025 : 137689 .

HAN J , HAN K , HAN T , et al . Data-driven distributionally robust optimization of low-carbon data center energy systems considering multi-task response and renewable energy uncertainty [J ] . Journal of Building Engineering , 2025 , 102 : 111937 .

HE W , XU Q , LIU S , et al . Analysis on data center power supply system based on multiple renewable power configurations and multi-objective optimization [J ] . Renewable Energy , 2024 , 222 : 119865 .

LIU Z , YU H , LIU R , et al . Configuration optimization model for data-center-park-integrated energy systems under economic, reliability, and environmental considerations [J ] . Energies , 2020 , 13 ( 2 ): 448 .

FIGINI E , PAOLONE M . Achieving dispatchability in data centers: Carbon and cost-aware sizing of energy storage and local photovoltaic generation [J ] . Sustainable Energy, Grids and Networks , 2025 : 101920 .

LIAN Y , LI Y , ZHAO Y , et al . Robust multi-objective optimization for islanded data center microgrid operations [J ] . Applied Energy , 2023 , 330 : 120344 .

JIANG Z , TANG Y , DING S , et al . Co-allocation and operational optimization for green power-direct-supply data center clusters with shared energy storage [J ] . International Journal of Electrical Power & Energy Systems , 2025 , 173 : 111403 .

KHALAJ A H , ABDULLA K , HALGAMUGE S K . Towards the stand-alone operation of data centers with free cooling and optimally sized hybrid renewable power generation and energy storage [J ] . Renewable and Sustainable Energy Reviews , 2018 , 93 : 451 - 472 .

GüĞüL G N , GöKçüL F , EICKER U . Sustainability analysis of zero energy consumption data centers with free cooling, waste heat reuse and renewable energy systems: A feasibility study [J ] . Energy , 2023 , 262 : 125495 .

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 .

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于DC-Bi-LSTM网络集成算法的数据中心能效优化研究

AI使能的5G节能技术

电力通信网络在能源互联网中的增值业务分析

云数据中心的SDN解决方案

NFV硬件资源池规划建设重点