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光伏发电技术 地面光伏电站 微电网 ★ 5.0

考虑计算资源动态聚合的算力中心微电网协调调度优化

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

作者 Jian Zhaoa · Keran Huang · Yuan Gaoa · Xiaoyan Biana · Kai Zhang · Dongdong Lia · Haoyang Cuic
期刊 Applied Energy
出版日期 2025年1月
卷/期 第 393 卷
技术分类 光伏发电技术
技术标签 地面光伏电站 微电网
相关度评分 ★★★★★ 5.0 / 5.0
关键词 A workload-core mapping model is proposed to evaluate the processors occupancy.
语言:

中文摘要

摘要 算力中心(CC)是一种通过工作负载调度调节其电力需求的灵活负荷。算力中心微电网可利用CC负荷的灵活性,与光伏发电(PV)的波动性进行协调。然而,算力中心的计算资源存在严重的碎片化问题,该状况限制了工作负载的分配,进而导致算力中心负荷难以与微电网实现有效协调。为解决上述问题,本文提出了一种基于计算资源动态聚合(CRDP)的算力中心微电网协调调度方法。具体而言,首先提出一种工作负载-核心映射模型,通过构建处理器核心状态矩阵,将工作负载转化为电力负荷;随后,提出CRDP方法,根据核心的实时状态对剩余可用核心进行整合与分配;在此基础上,构建一种自调节的算力中心微电网协调框架,通过调整计算资源池的规模以响应光伏发电的波动性。最后,在多种微电网仿真场景下验证了所提方法在提升光伏消纳能力方面的有效性。

English Abstract

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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SunView 深度解读

该算力中心微电网协调调度技术对阳光电源ST系列储能变流器和SG系列光伏逆变器具有重要应用价值。通过计算资源动态池化实现负荷柔性调节,可与我司PowerTitan储能系统协同优化光伏消纳。该工作负载-功率映射模型可启发iSolarCloud平台开发数据中心等柔性负荷接入功能,结合GFM控制技术提升微电网自调节能力,为光储充一体化场景下的多元负荷协调控制提供新思路,助力提升系统经济性和新能源利用率。