计算机与现代化 ›› 2023, Vol. 0 ›› Issue (08): 87-92.doi: 10.3969/j.issn.1006-2475.2023.08.014

• 计算机控制 • 上一篇    下一篇

智能配电网边缘计算研究现状与展望

  

  1. (1.国网宁夏电力有限公司,宁夏回族自治区 银川750002; 2.国电南瑞南京控制系统有限公司,江苏 南京 210031;
    3. 南京信息工程大学计算机学院,江苏 南京 210044)
  • 出版日期:2023-08-30 发布日期:2023-09-13
  • 作者简介:何玉鹏(1981—),男,甘肃天水人,高级工程师,硕士,研究方向:配电网工程管理,运维检修,配电自动化管理,可靠性管理,E-mail: 13739502218@163.com; 陶勇(1983—),男,高级工程师,硕士,研究方向:电气及其自动化,配网自动化,E-mail: 13705160605@139.com; 王必恒(1981—),男,高级工程师,硕士,研究方向:电气及其自动化,配网自动化,E-mail: wangbiheng@sgepri.sgcc.com.cn; 通信作者:赵英男(1973—),女,辽宁盖州人,副教授,博士,研究方向:边缘计算,配网自动化,E-mail: zh_yingnan@126.com。
  • 基金资助:
    国家自然科学基金资助项目(61601235); 国网宁夏电力有限公司项目(2022h283)

Research Status and Prospect of Edge Computing in Smart Distribution Network

  1. (1.State Grid Ningxia Electric Power Co. Ltd., Yinchuan 750002, China; 2. NARI Nanjing Control System Ltd, Nanjing 210031, China; 3. School of Computer, Nanjing University of Information Science & Technology, Nanjing 210044, China)
  • Online:2023-08-30 Published:2023-09-13

摘要: 摘要:随着人工智能和物联网技术的快速发展,配电网正逐步走向智能化。但是海量数据使云计算面临时延变长、网络拥堵、隐私泄露等问题。边缘计算作为一种新的计算范式,可以通过网络边缘节点,有效解决上述问题,在智能配电网中的应用日益广泛。本文针对近年来智能配电网边缘计算技术进行了综述。首先概述智能配电网的特征以及在该应用场景中边缘计算的定义和架构;其次从不同维度分析了应用现状,包括故障诊断与检测、数据分析、优化调度和数据安全与保护,最后对智能配电网场景下的研究挑战进行了总结,提出数据精细化管理、资源模块化共享、边缘安全性维护3个方面的研究展望。

关键词: 关键词:物联网, 边缘计算, 云计算, 智能配电网

Abstract: Abstract: With the rapid development of artificial intelligence technology and the Internet of Things, the distribution network is gradually becoming intelligent. However, massive data faces cloud computing face problems such as longer delay, network congestion, and privacy leakage. As a new computing paradigm, edge computing can handle network edge nodes and effectively solve the above problems, and is increasingly used in smart distribution networks. This paper reviews the edge computing technology of smart distribution networks in recent years. Firstly, it summarizes the characteristics of smart distribution network and the definition and architecture of edge computing in this application scenario. Secondly, it summarizes typical applications from different dimensions, including fault diagnosis and detection, data analysis, optimal scheduling, and data security and protection.. The research challenges in grid scenarios are summarized and prospected in three aspects, refinement management of data, modular sharing of resources and edge security maintenance.

Key words: Key words: internet of things, edge computing, cloud computing, smart distribution networks

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