Abstract
In the energy Internet context, exploring data center operational flexibility is crucial for integrating data and energy networks and enhancing system flexibility. This paper systematically analyzes the potential and significance of collaborative optimization between data centers and power systems by summarizing domestic and international research achievements. First, combined with actual operation conditions, it discusses data center architecture and the basic characteristics, scheduling properties, and spatiotemporal flexibility of two workload types. Second, it reviews data center energy consumption models from the dimensions of modeling methods and application scenarios. Third, it analyzes the flexibility potential of data center power loads in temporal and spatial dimensions. Fourth, it reviews coordinated optimization research in dispatch operation, annual planning, market policies, and market participation. Finally, it discusses prospective challenges in this field.
| Original language | English |
|---|---|
| Title of host publication | 2026 11th Asia Conference on Power and Electrical Engineering, ACPEE 2026: Proceedings |
| Editors | Tek-Tjing LIE, Ningyi DAI, Youbo LIU |
| Publisher | IEEE |
| Pages | 1716-1721 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798331560676 |
| DOIs | |
| Publication status | Published - Apr 2026 |
| Event | 2026 11th Asia Conference on Power and Electrical Engineering, ACPEE 2026 - Macao, Macao, China Duration: 14 Apr 2026 → 17 Apr 2026 |
Publication series
| Name | Asia Conference on Power and Electrical Engineering (ACPEE) Proceedings |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2996-2927 |
| ISSN (Electronic) | 2996-2951 |
Conference
| Conference | 2026 11th Asia Conference on Power and Electrical Engineering, ACPEE 2026 |
|---|---|
| Abbreviated title | ACPEE 2026 |
| Country/Territory | Macao, China |
| City | Macao |
| Period | 14/04/26 → 17/04/26 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Data centers
- Power systems
- Coordinated optimization
- Spatiotemporal flexibility
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