| 引用本文: | 杨 苹,于施洋,任 峰.算力电力协同创新框架[J].控制理论与应用,2024,41(7):1181~1186.[点击复制] |
| YANG Ping,YU Shi-yang,REN Feng.Collaborative innovation framework for computing power and electricity[J].Control Theory and Technology,2024,41(7):1181~1186.[点击复制] |
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| 算力电力协同创新框架 |
| Collaborative innovation framework for computing power and electricity |
| 摘要点击 118 全文点击 46 投稿时间：2023-08-31 修订日期：2024-05-24 |
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| DOI编号 DOI: 10.7641/CTA.2024.30589 |
| 2024,41(7):1181-1186 |
| 中文关键词 算力 电力 协同 框架 |
| 英文关键词 computational power electricity collaboration frame |
| 基金项目 广东省海洋经济发展(海洋六大产业)专项资金项目(GDNRC[2023]27)资助. |
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| 中文摘要 |
| 大规模低成本的算力是国家的核心竞争力, 为此, 我国正在建设国家级算力网. 大规模算力耗费巨大电能, 在日趋紧张的能源形势下, 为满足不断增长算力的电力供应, 本文在我国“西电东送” 、“东数西算”工程的基础上, 提出构建算力节点与电力节点、算力市场与电力市场、算力网与电力网3个层面的算力电力协同创新基础框架, 建立算力电力分层分区融合的协同创新技术框架, 为未来算力与电力的双向协同优化调度奠定基础. 在此基础上, 推演未来算力电力的协同创新应用, 通过算力电力的双向协同优化调度, 为庞大的算力提供有竞争力的低碳电力, 为电力的低碳发展提供高效的算力支持. |
| 英文摘要 |
| The large-scale low-cost computing power is becoming the core competitiveness of countries, so China is building a national level computing power network. Large scale computing power consumes huge amounts of electricity. In the increasingly tense energy situation, in order to meet the continuously growing power supply of computing power, based on China’s “West East Power Transmission” and “East West Computing” projects, a collaborative innovation framework for computing power is proposed to build in this article, and a collaborative innovation technology framework at three levels is established: computing power nodes and power nodes, computing power market and power market, and computing power grid and power grid. And establish a collaborative innovation technology framework for the hierarchical and partitioned integration of computing power and electricity, laying the foundation for the bidirectional collaborative optimization and scheduling of computing power and electricity in the future. On this basis, deduce the collaborative innovation application of future computing power. Through the bidirectional collaborative optimized scheduling of computing power, provide competitive low-carbon electricity for massive computing power and efficient computing power support for low-carbon development of electricity. |
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