许梓荣,刘友波,廖红兵,唐志远,高红均,刘俊勇
XU Zirong,LIU Youbo,LIAO Hongbing,TANG Zhiyuan,GAO Hongjun,LIU Junyong

• 1:四川大学电气工程学院
• 2:国网成都市青白江供电公司

摘要(Abstract)：

随着新型电力系统对分布式能源高比例消纳与灵活调控需求的提升，微电网作为关键组成单元面临新的运行控制挑战。传统集中式云计算架构难以满足微电网实时决策、隐私保护和分布式协同等需求，而边缘智能技术为解决这些问题提供了新型技术范式。首先概述了边缘智能在微电网运行控制中的技术体系；其次从能源管理、稳定调控、能量交易与源荷预测应用场景切入，对比分析了边缘智能相较于传统方法的优势；最后对其通信模式优化、安全防护机制、算法泛化能力、云边协同架构及标准化落地等方面进行了展望。
With the increasing demand of modern power systems for high-proportion integration and flexible regulation of distributed energy resources(DERs), microgrids, as key components, are facing new operational control challenges. Conventional centralized cloud computing architectures struggle to meet the requirements of microgrids for real-time decision-making, privacy protection, and distributed coordination. Edge intelligence technology offers a novel technical paradigm to address these issues. This paper first outlines the technical architecture of edge intelligence in microgrid operation and control. Subsequently, from the application perspectives of energy management, stability control, energy trading, and source-load forecasting, it provides a comparative analysis of the advantages of edge intelligence over conventional methods. Finally, it offers insights into future developments, including communication mode optimization, security protection mechanisms, algorithm generalization capabilities, cloud-edge collaboration architecture, and standardization implementation.

关键词(KeyWords)： 微电网;运行控制;边缘智能;人工智能
microgrid;operational control;edge intelligence;artificial intelligence

Abstract:

Keywords:

基金项目(Foundation): 四川省科技计划资助项目（25JBGS0052）

作者(Author): 许梓荣,刘友波,廖红兵,唐志远,高红均,刘俊勇
XU Zirong,LIU Youbo,LIAO Hongbing,TANG Zhiyuan,GAO Hongjun,LIU Junyong

DOI: 10.19585/j.zjdl.202510011

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