中国电机工程学报2024，Vol.44Issue(12)：4732-4747,中插11,17.DOI:10.13334/j.0258-8013.pcsee.222970
综合考虑内外生不确定性的绿色数据中心多域资源协同规划方法
A Collaborative Optimization Approach for Green Data Center Multi-domain Resource Planning Considering Both Endogenous and Exogenous Uncertainties
摘要
Abstract
In the context of digital economy,the development of green data centers(GDC)featured with"high energy efficiency and eco-friendly"is an important measure to promote the carbon neutrality and sustainable development.Optimizing the investment of system resources and harnessing the potential of data load responsiveness to enhance the quality and efficiency of the system has emerged as a significant challenge for the planning of future public(GDCs).Thus,from the perspective of cyber-physical-social coupling,this paper introduces the regret-matching technique to simulate the mid-and long-term dynamic evolution of data users'willingness to participate in GDC demand response(GDC-DR).Based on the definition of dynamic scenarios,a GDC multi-domain resource collaborative planning model is proposed by comprehensively considering endogenous uncertainties in demand-side GDC-DR participation and exogenous uncertainties from renewable generation and data load demands.Considering multi-domain constraints,the model optimizes the setting of equipment capacity,GDC-DR incentive price and operation strategy,to fully exploit the flexibility potential of data load demand and realize the simultaneous maximization of system economic and carbon emission benefits.Finally,the effectiveness of the proposed model is verified through numerical studies.关键词
绿色数据中心/多域资源规划/需求响应/不确定性/信息物理社会系统/碳中和Key words
green data center/multi-domain resource planning/demand response/uncertainties/cyber-physical-social system/carbon neutrality分类
信息技术与安全科学引用本文复制引用
曾博,刘一贤,张卫翔,罗旸凡,吴晨..综合考虑内外生不确定性的绿色数据中心多域资源协同规划方法[J].中国电机工程学报,2024,44(12):4732-4747,中插11,17.基金项目
国家自然科学基金(52177082) （52177082）
北京市科技新星计划(20220484007). Project Supported by National Natural Science Foundation of China(52177082) （20220484007）
Beijing Nova Program(20220484007). （20220484007）
