摘要
在全球能源转型与“双碳”战略驱动下,配电网智能化改造成为提升能源利用效率与供电质量的关键路径。针对传统配电网设备老化、自动化水平低及新能源高渗透接入等挑战,提出“架构-数据-控制”三位一体的智能化改造理论框架。通过构建“云-边-端”协同的分层分布式架构,引入动态虚拟子网划分与SDN技术,实现故障处理时效提升3~5个数量级;设计时空标签体系下的多源数据融合机制,结合联邦学习与自适应采样算法,有效解决数据异构性与隐私矛盾;优化电力物联网通信协议,提出混合组网方案与零信任安全体系,降低通信成本并提升攻击识别率至99.2%。实证研究表明,沿海工业园区改造后年均停电时间缩短93.8%,高原农村电网过载预警效率提升3倍,验证了技术路线的可行性。研究同时揭示设备协同控制、极端环境可靠性等瓶颈,提出数字孪生深度集成与标准化体系建设的系统性改进策略,为构建自愈、自治型智能配网提供理论支撑。
Driven by the global energy transition and the"dual carbon"strategy,the intelligent transformation of distribution networks has become a key path to improve energy utilization efficiency and power supply quality.This article proposes an intelligent transformation theoretical framework of"architecture data control"trinity to address challenges such as aging of traditional distribution network equipment,low automation level,and high penetration of new energy access.By constructing a hierarchical distributed architecture that integrates cloud edge end collaboration,introducing dynamic virtual subnet partitioning and SDN technology,the efficiency of fault handling can be improved by 3~5 orders of magnitude;Design a multi-source data fusion mechanism under the spatiotemporal labeling system,combining federated learning and adaptive sampling algorithms to effectively solve the contradiction between data heterogeneity and privacy;Optimize the communication protocol of the power Internet of Things,propose a hybrid networking solution and zero trust security system,reduce communication costs,and improve attack recognition rate to 99.2%.Empirical research has shown that after the renovation of coastal industrial parks,the average annual power outage time has been reduced by 93.8%,and the efficiency of overload warning for rural power grids in high-altitude areas has been increased by three times,verifying the feasibility of the technical route.The study simultaneously reveals bottlenecks such as device collaborative control and extreme environmental reliability,and proposes systematic improvement strategies for the deep integration and standardization system construction of digital twins,providing theoretical support for the construction of self-healing and autonomous intelligent distribution networks.
作者
徐晓波
曹阳
杨晓铖
XU Xiaobo;CAO Yang;YANG Xiaocheng(State Grid Jiangsu Electric Power Co.,Ltd.Suzhou Power Supply Branch,Suzhou 215000,China)
出处
《电工技术》
2025年第S1期713-715,719,共4页
Electric Engineering
关键词
配网智能化改造
分布式能源
电力物联网
数字孪生
多源数据融合
intelligent transformation of distribution network
distributed energy
power internet of things
digital twin
multi source data fusion
