上海交通大学学报

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基于云原生的新型电力系统数字能源终端:模型与方法(网络首发)

  

  1. 1.南方电网数字电网研究院股份有限公司2.华南理工大学电力学院
  • 基金资助:
    南方电网公司科技项目(670000KK52220001)

Cloud-Native Based New Digital Energy Terminal for Power Systems: Models and Methods

  1. (1. China Southern Power Grid Digital Grid Research Institute Co. ,Ltd., Guangzhou 510700, China; 2. School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China)

摘要: 随着数字化技术在不断凸显的分布式特征驱动下向配用电侧延伸,电力终端将成为在边缘侧提供对象接入和数字化能源电力服务的“数字能源终端”,云原生是支撑这一转变的关键技术基础。本文分析了海量分布式对象驱动的数字能源终端需求,提出了基于云原生的数字能源终端要素、架构和业务组织方式。接着,以算力供需平衡为主线,分析了数字能源终端相关的业务模型、算力资源模型和算力供需匹配优化方法。最后,对基于云原生的数字能源终端技术生态进行了展望。本文试图将“云原生+能源电力终端”领域内已有工作统一到基于云原生的新型电力系统数字能源终端框架下,指出基于云原生将重塑数字能源终端的架构、功能和运营模式,对支撑能源电力系统数字化转型、培育能源电力行业新生态具有重要意义。

关键词: 数字能源终端, 云原生, 算力负荷, 算力资源, 算力供需平衡,

Abstract: Driven by a vast number of distributed objects and emerging business demands, energy and power terminals are evolving towards decoupling software from hardware and applications from data. Cloud-native technology possesses the ability to enable flexible restructuring of energy and power terminals. The compatibility between cloud-native elements and power business in this paper, which proposes the concept of digital energy terminals based on cloud-native technology and introduces its basic architecture; then taking the construction of a specialized computing power network for the energy and power system as the focus, an overview of existing work in the "electric power + cloud-native" field is provided from aspects such as computing load models, computing resource models, and optimization of computing supply and demand matching, and the direction of subsequent work is discussed; finally, the outlook of the technology ecosystem of cloud-native based digital energy terminals is provided, pointing out that the research and application of cloud-native based digital energy terminals are of great significance for supporting the digital transformation of the energy and power system and fostering a new ecosystem in the energy and power industry.

Key words: digital energy terminal, cloud-native, computing load, computing resources, computing supply and demand balancing

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