电力系统自动化2026，Vol.50Issue(17)：18-36,19.DOI:10.7500/AEPS20260104001
面向算电协同的建模与应用:研究现状与展望
Research Status and Prospects of Modeling and Applications for Computing Power-Electric Power Coordination
摘要
Abstract
The rapid proliferation of artificial intelligence has significantly increased global computing power demands,drawing widespread attention to the coordination of data centers and power systems.To address this,this paper conducts a systematic study on computing power-electric power coordination.First,it summarizes fundamental models of data centers in computing resource allocation,energy consumption management,and thermal management,and synthesizes modeling that characterizes the coupling between data centers and various energy networks,which lays a foundation for the research on computing power-electric power coordination.It then focuses on research advances in long-term expansion planning and short-term optimal operation for computing power-electric power coordination in three representative scenarios,such as data center microgrids.Furthermore,the paper provides a comprehensive overview of relevant market mechanisms from five perspectives,including the electricity and flexibility markets.It also summarizes resilience enhancement measures,mathematical models,and solution algorithms for computing power-electric power coordination at both transmission and distribution network levels.Subsequently,to further promote the research in this area,the paper surveys and compiles key characteristics of mainstream open data center datasets,including temporal granularity,coverage period,features,and applicable scenarios.Finally,it outlines key research directions for future computing power-electric power coordination from both micro-level aspects,such as coordinated hardware deployment in AI data centers and AI-driven load demand response,and macro-level aspects,such as social and economic benefits.关键词
算电协同/人工智能/数据中心/耦合/韧性/负荷需求响应Key words
computing power-electric power coordination/artificial intelligence(AI)/data center/coupling/resilience/load demand response引用本文复制引用
杨蒙,翁翕,沈沉,陈玥..面向算电协同的建模与应用:研究现状与展望[J].电力系统自动化,2026,50(17):18-36,19.基金项目
国家自然科学基金资助项目(72561160161,72225001) （72561160161,72225001）
香港研究资助局资助项目(N_CUHK422/25) （N_CUHK422/25）
广东省基础与应用基础研究基金项目(2026A1515010807).本文受北京大学-东湖高新区国家智能社会治理实验基地" 人文社科项目群"课题(2025001455)资助,特此感谢!This work is supported by National Natural Science Foundation of China(No.72561160161,No.72225001),Hong Kong Research Grants Council(No.N_CUHK422/25),and Guangdong Basic and Applied Basic Research Foundation(No.2026A1515010807). （2026A1515010807）
