电力系统自动化2026，Vol.50Issue(17)：74-84,11.DOI:10.7500/AEPS20260201002
算力-电力耦合网络的统一图模型及协同优化机制
Unified Graph Model and Coordinated Optimization Mechanism for Computing Power-Electric Power Coupling Network
摘要
Abstract
Computing power-electric power coupling network faces challenges such as model heterogeneity,computational complexity,and market incentive mechanisms.To address these issues,a graph modeling method for the computing power network is first proposed to express the computing power constraints and the mapping relationship of computing power-electric power regulation capabilities.Based on this,a unified graph model representation for both computing power and electric power networks is proposed,from which a scalable distributed coordinated optimization method and analytical solutions for non-energy-storage devices are derived.This method supports network splitting at the computing power-electric power interface to achieve privacy-preserving computation.Based on this coordinated optimization capability and the Nash bargaining method,an incentive mechanism for the spatial migration of computing power is proposed,which functions independently of nodal electricity prices.Simulation results demonstrate that the proposed distributed optimization method exhibits linear complexity.Furthermore,the proposed computing power-electric power coordinated incentive mechanism can fairly allocate the cooperative surplus generated by spatio-temporal migration,achieving a win-win outcome for both the power grid and data centers.It also effectively enhances the renewable energy accommodation rate while reducing system operation costs and carbon emissions.关键词
数据中心/算力-电力耦合网络/图模型/协同优化/交替方向乘子法/隐私计算/纳什谈判Key words
data center/computing power-electric power coupling network/graph model/coordinated optimization/alternating direction method of multipliers(ADMM)/privacy-preserving computation/Nash bargaining引用本文复制引用
陈仲禧,张沛超,赵建立,王晴,杨尚霖..算力-电力耦合网络的统一图模型及协同优化机制[J].电力系统自动化,2026,50(17):74-84,11.基金项目
国家电网有限公司科技项目(52090D250002).This work is supported by State Grid Corporation of China(No.52090D250002). （52090D250002）
