【摘要】 新型配电系统复杂性与不确定性剧增，面临状态难辨、机理不明、调控不力等多重技术挑战，亟须建模分析与态势推演技术支撑。数字孪生技术可显著提升配电系统的感知、分析和决策能力，而配电信息物理系统（cyber-physical distribution system,CPDS）作为连接物理世界与虚拟世界的桥梁，在推动数字孪生配电网发展中不可或缺。研究聚焦数字孪生配电网的核心环节，系统阐述数字状态映射、数字孪生体构建、数字孪生推演以及孪生驱动的分析、优化调控等关键技术，并探讨其典型应用场景。更多还原

【Abstract】 To enhance the state perception, analysis, decision-making, and optimization control capabilities of new distribution systems facing strong uncertainties, diversified sources and loads, and operational complexity, this paper proposes a digital twin distribution network construction method supported by the Cyber-Physical Distribution System(CPDS). The approach employs multi-source data fusion and dynamic mapping technology to establish high-fidelity state synchronization from the physical grid to the digital space. An information-physical fusion simulation platform is used to construct multi-scale digital twin entities covering equipment, system, and regional levels. Based on the closed-loop process of “mapping–simulation–optimization–validation–execution–feedback,” situational prediction, strategy optimization, and closed-loop control are realized. Application verification in a county-level energy internet system shows that the system can reduce heavy overload rates by 21.39% and increase the renewable energy consumption rate to 99.0%, effectively supporting source-grid-load-storage coordination and dispatch decision-making. The CPDS-enhanced digital twin architecture proposed in this paper provides a key technical path and engineering practice reference for high-fidelity, deductible,and closed-loop digital twin systems in distribution networks.更多还原