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Data centers

Data Centers: A Key Component in Building New-Type Power System

Strategic Insights

— 1 min read

A new report has been published on data centers, highlighting their importance in achieving the dual-carbon goals through the flexible scheduling performance of shared energy storage systems in conjunction with data centers. The research, conducted by the University of Science and Technology Beijing, proposes a Stackelberg-game based bi-level scheduling model that considers price linkage and demand response. This model aims to reduce the electricity cost of data centers and promote the consumption of renewable energy.

Key Takeaways:

  • A Stackelberg-game based bi-level scheduling model is proposed to optimize the joint scheduling performance of shared energy storage systems and data centers.
  • The model considers price linkage and demand response to reduce the electricity cost of data centers and promote the consumption of renewable energy.
  • A two-layer algorithm combining genetic algorithm and CPLEX is applied to solve the model, demonstrating the rationality and effectiveness of the proposed model.
  • The proposed joint scheduling model shows a significant reduction in electricity cost of data centers by 7.97%, leading to a savings of 193740 CNY for the shared energy storage system.
  • The research emphasizes the importance of improving energy utilization efficiency, enhancing load scheduling flexibility, and promoting renewable energy consumption.
  • The study provides a valuable contribution to the optimization of data centers and shared energy storage systems, which can help to achieve the dual-carbon goals.

Statistics:

  • 7.97% reduction in electricity cost of data centers
  • Savings of 193740 CNY for the shared energy storage system
  • 2025: the year in which the research was published
  • 336: the volume number of the journal in which the research was published
  • 225: the page number of the news report

Sources:

  • A Stackelberg-game Based Bi-level Scheduling Model of Data Center Combined With Shared Energy Storage Considering Price Linkage and Demand Response. Energy
  • University of Science and Technology Beijing
  • VerticalNews
  • ScienceDirect (Elsevier)
  • Pergamon-elsevier Science Ltd.

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