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电力-算力协同:内涵、架构、技术与实践

仝杰 丁浩 陈洪银 戴璟 戴罕奇 张鋆

中国电机工程学报2026,Vol.46Issue(14):5687-5707,中插1,22.
中国电机工程学报2026,Vol.46Issue(14):5687-5707,中插1,22.DOI:10.13334/j.0258-8013.pcsee.252209

电力-算力协同:内涵、架构、技术与实践

Electricity-computing Power Synergy:Connotation,Architecture,Technologies,and Practice

仝杰 1丁浩 1陈洪银 1戴璟 2戴罕奇 3张鋆1

作者信息

  • 1. 中国电力科学研究院有限公司,北京市海淀区 100192
  • 2. 清华大学能源互联网创新研究院,北京市海淀区 100085
  • 3. 国网北京市电力公司,北京市西城区 100075
  • 折叠

摘要

Abstract

The rapid evolution of artificial intelligence technology has driven a sharp rise in the load on computing infrastructure,represented by data centers.Currently,the expansion of green power supply and computing scale in China faces challenges of spatial resource mismatch and temporal supply-demand misalignment.Consequently,electricity-computing power synergy has emerged not only as the key to supporting green computing with green power but also as an inevitable path for the deep integration of China's"East Data,West Computing"and"West-East Power Transmission"national projects.This paper first elucidates the connotation and evolutionary path of electricity-computing power synergy,identifying two key scientific problems:mapping and representation of heterogeneous electricity-computing resources,and joint minimization of energy entropy and information entropy.Subsequently,a six-layer technical architecture spanning entity,sensing,simulation,decision,execution,and incentive layers is constructed.Based on this framework,the paper proposes core research directions for key technologies,including mapping representation and electrical equivalent modeling of computing-electricity resources,establishment of coupled digital twins and simulation deduction,collaborative resource regulation and online optimization-based decision-making,grid integration and reliable spatiotemporal migration of heterogeneous computing power,as well as incentive-compatible mechanisms and trusted trading in multi-dimensional markets.Finally,the paper systematically reviews current research status and practices in electricity-computing power synergy across multiple spatial scales,ranging from efficient energy use within data centers to park-level multi-energy complementarity,regional supply-demand coordination,and wide-area joint dispatching,and provides an outlook on the future development trends of key technologies.

关键词

新型电力系统/电-算协同/算力网络/数据中心/源荷互动

Key words

new-type power system/electricity-computing power synergy/computing power network/data center/source-load interaction

分类

信息技术与安全科学

引用本文复制引用

仝杰,丁浩,陈洪银,戴璟,戴罕奇,张鋆..电力-算力协同:内涵、架构、技术与实践[J].中国电机工程学报,2026,46(14):5687-5707,中插1,22.

基金项目

智能电网国家科技重大专项(2025ZD0804800).Smart-Grid National Science and Technology Major Project(2025ZD0804800). (2025ZD0804800)

中国电机工程学报

0258-8013

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