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新型电力系统下算电协同发展关键技术及趋势OA

Key technologies and trends for computing-power synergistic development under the new power system

中文摘要英文摘要

在新型电力系统建设和新一代人工智能(Artificial Intelligence,AI)快速发展的背景下,算力需求持续增长,对电力供应的稳定性、可靠性、绿电占比等提出了更高要求,与以风光为主体的新型电力系统形成了结构性矛盾,电算协同发展势在必行.围绕算电协同的内涵、发展现状、关键技术及面临挑战展开研究,首先阐释了算电协同发展的基本概念及内涵,并对其发展现状进行梳理;其次从算力负荷预测、高可靠供电、绿电直供、跨时空调度、市场交易5个方面系统总结分析了算电协同发展关键技术路径;最后对算电协同面临的挑战及未来发展趋势进行探讨分析.研究旨在为算电协同发展提供一定的理论和技术支持,为相关从业者提供参考.

Under the new power system construction and the rapid development of the new generation of Artificial Intelligence(AI),the continuous growth of computing demand has placed high requirements on the stability,reliability and green electricity ratio,creating a structural contradiction with the new power system dominated by wind and solar energy,making computing-power synergistic development imperative.This paper studies the connotation,development situation,key technologies and challenges of computing-power synergy.It first expounds the basic concepts and connotation of computing-power synergistic development and reviews its development situation.Then,it systematically examines key technical paths from five aspects,namely,computing load forecasting,highly reliable power supply,green power direct supply,spatiotemporal scheduling and market trading.Finally,it discusses the challenges and future development trends of computing-power synergy.The research results aim to provide a certain theoretical basis and application guidance for the development of computing-power synergy,and serve as a reference for relevant practitioners.

石鑫;王雁河;高峰;张頔

内蒙古工业大学新能源学院,鄂尔多斯 017010||清华大学能源互联网创新研究院,北京 100085清华大学能源互联网创新研究院,北京 100085清华大学能源互联网创新研究院,北京 100085国网北京海淀供电公司,北京 100102

信息技术与安全科学

新型电力系统新一代AI算电协同跨时空调度

new power systemnew-generation AIcomputing-power synergyspatiotemporal scheduling

《信息通信技术与政策》 2026 (7)

2-10,9

10.12267/j.issn.2096-5931.2026.07.001

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