Coordinated scheduling optimization for Computility center microgrid considering computing resources dynamic pooling

IF 10.1 1区工程技术 Q1 ENERGY & FUELS

Applied Energy Pub Date : 2025-05-12 DOI:10.1016/j.apenergy.2025.125971

Jian Zhao , Keran Huang , Yuan Gao , Xiaoyan Bian , Kai Zhang , Dongdong Li , Haoyang Cui

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引用次数: 0

Abstract

The computility center (CC) is a flexible load that regulates its power demands through workload dispatching. CC microgrid can employ the flexibility of CC load to coordinate with the volatility of photovoltaic (PV) generation. However, the computing resources of CC are heavily fragmented. Such situation limits workload distribution and then results in CC load incapable of coordinating with microgrid. To address the above issue, this paper proposes a coordinated scheduling method for CC microgrid using computing resources dynamic pooling (CRDP). Specifically, a workload-core mapping model is proposed to transform workload into power load by formulating the matrix of processor core states. Subsequently, the CRDP method is proposed to integrate and allocate remaining available cores according to the core real-time states. Then a self-regulating CC microgrid coordinated framework is proposed to regulate the CC load by adjusting the scale of computing resource pool to the volatility of PV generation. The effectiveness of the proposed method in improving PV consumption is validated across different microgrid simulation scenarios.

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考虑计算资源动态池化的计算中心微电网协同调度优化

计算中心（CC）是一种灵活的负载，它通过工作负载调度来调节自身的电力需求。CC微电网可以利用CC负荷的灵活性来协调光伏发电的波动性。然而，CC的计算资源严重碎片化。这种情况限制了负荷的分配，导致CC负荷无法与微网协调。针对上述问题，本文提出了一种基于计算资源动态池（CRDP）的CC微电网协调调度方法。具体而言，提出了一种工作负载-核心映射模型，通过构建处理器核心状态矩阵，将工作负载转化为功率负载。随后，提出了CRDP方法，根据内核实时状态对剩余可用内核进行整合和分配。然后，提出了一种自调节的CC微电网协调框架，通过调整计算资源池的规模以适应光伏发电的波动率来调节CC负荷。通过不同的微电网仿真场景验证了该方法在提高光伏消纳方面的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Energy 工程技术-工程：化工

CiteScore

21.20

自引率

10.70%

发文量

1830

审稿时长

41 days

期刊介绍： Applied Energy serves as a platform for sharing innovations, research, development, and demonstrations in energy conversion, conservation, and sustainable energy systems. The journal covers topics such as optimal energy resource use, environmental pollutant mitigation, and energy process analysis. It welcomes original papers, review articles, technical notes, and letters to the editor. Authors are encouraged to submit manuscripts that bridge the gap between research, development, and implementation. The journal addresses a wide spectrum of topics, including fossil and renewable energy technologies, energy economics, and environmental impacts. Applied Energy also explores modeling and forecasting, conservation strategies, and the social and economic implications of energy policies, including climate change mitigation. It is complemented by the open-access journal Advances in Applied Energy.