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考虑数据中心共享储能与计算负荷时空迁移特性的虚拟电厂优化运行方法

刘方 陈祥洲 周江昕 张健荣 卫思明 杨秀

电网技术2026,Vol.50Issue(5):1848-1857,中插11-中插18,18.
电网技术2026,Vol.50Issue(5):1848-1857,中插11-中插18,18.DOI:10.13335/j.1000-3673.pst.2025.0747

考虑数据中心共享储能与计算负荷时空迁移特性的虚拟电厂优化运行方法

Optimal Operation Method for Virtual Power Plant Considering Shared Energy Storage and Spatiotemporal Migration Characteristics of Computational Load in Data Centers

刘方 1陈祥洲 1周江昕 2张健荣 2卫思明 2杨秀1

作者信息

  • 1. 上海电力大学电气工程学部,上海市杨浦区 200090
  • 2. 国网上海市电力公司松江供电公司,上海市 松江区 201699
  • 折叠

摘要

Abstract

With the rapid advancement of large-scale artificial intelligence models,data centers are increasingly tasked with managing immense computational workloads.However,the exponential rise in computing power demands has intensified energy consumption challenges within these facilities.This paper proposes an optimal operation method for a virtual power plant considering shared energy storage and spatiotemporal migration characteristics of computational load in data centers.Initially,power consumption models and spatiotemporal migration potential models are developed to fully harness the operational flexibility of data centers.Subsequently,a virtual power plant model incorporating shared energy storage is introduced,optimizing the allocation of energy storage resources to achieve resource sharing and balance.Furthermore,a bilevel collaborative optimization framework is established between the virtual power plant operator and the data center.In this framework,the operator,at the upper level,generates market-based electricity price signals and demand response directives to guide adjustments in the data center's energy usage patterns.Meanwhile,the data center,at the lower level,optimizes its electricity load and computational task allocation,feeding back the adjusted energy load and response capabilities to the operator.Finally,case studies and comparative experiments demonstrate that the proposed model significantly reduces operational costs,enhances computational load distribution,and improves renewable energy utilization,effectively validating the feasibility of the proposed method and model.

关键词

虚拟电厂/数据中心/共享储能/时空迁移/协同优化

Key words

virtual power plant/data center/shared energy storage/spatiotemporal migration/collaborative optimization

分类

信息技术与安全科学

引用本文复制引用

刘方,陈祥洲,周江昕,张健荣,卫思明,杨秀..考虑数据中心共享储能与计算负荷时空迁移特性的虚拟电厂优化运行方法[J].电网技术,2026,50(5):1848-1857,中插11-中插18,18.

基金项目

国家电网有限公司科技项目(520935240006).Project Supported by the Science and Technology Project of State Grid Corporation of China(520935240006). (520935240006)

电网技术

1000-3673

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