摘要
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 regula⁃tion 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 intelli⁃gence 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 com⁃munication mode optimization,security protection mechanisms,algorithm generalization capabilities,cloud-edge collaboration architecture,and standardization implementation.
作者
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(College of Electrical Engineering,Sichuan University,Chengdu 610065,China;State Grid Qingbaijiang Power Supply Branch,Chengdu 610399,China)
出处
《浙江电力》
2025年第10期121-138,共18页
Zhejiang Electric Power
基金
四川省科技计划资助项目(25JBGS0052)
关键词
微电网
运行控制
边缘智能
人工智能
microgrid
operational control
edge intelligence
artificial intelligence
