Dual-drive coordinated operation strategy for internet data centers by exploiting spatiotemporal flexibility

被引:0
|
作者
Zhou, Shibo [1 ,2 ]
Zhou, Ming [1 ,2 ]
Wu, Zhaoyuan [1 ,2 ]
Wang, Yuyang [1 ,2 ]
Li, Gengyin [1 ,2 ]
Wang, Shuai [3 ]
机构
[1] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewable, Beijing 102206, Peoples R China
[2] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing 102206, Peoples R China
[3] China Elect Power Res Inst, Natl Key Lab Renewable Energy Grid Integrat, Beijing 100192, Peoples R China
基金
中国国家自然科学基金;
关键词
Dual -drive coordination; Dynamic carbon emission intensity; Spatiotemporal flexibility; Internet data centers; Real-time electricity price; DEMAND RESPONSE; GENERATION; EXPANSION; NETWORK;
D O I
10.1016/j.jclepro.2024.141741
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the rapid expansion of computational infrastructure, the electricity consumption of geographically dispersed Internet Data Centers (IDCs) has imposed a substantial influence on the power grid. Geographically distributed IDCs, which present a versatile electricity demand with significant operational flexibility, hold potential for mitigating cost issues and balancing regional supply and load demand. To exploit this flexibility, this paper has developed a dual -drive coordinated operational strategy, which integrates locational electricity prices and unit carbon emission costs based on the dynamic carbon emission intensity (DCEI) of various regions as interaction signals to improve coordination effectiveness. The upper -level determines the consumption behaviour of IDCs, the lower -level provides feedback on dual -drive signals factoring in IDCs ' involvement in grid operation, whilst an iterative algorithm is suggested to solve the bi-level model. Case studies based on real -world datasets demonstrate that the proposed operation strategy can achieve arbitrage through multi -regional carbonelectricity markets, significantly reduce operating costs, and support the rapid development of IDCs. Additionally, this strategy facilitates optimal matching of power load in IDCs with renewable energy sources, thereby mitigating imbalances in regional renewable energy supply and demand.
引用
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页数:13
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