浙江大学电气工程学院,浙江省杭州市 310027
李知艺(1989—),男,博士,研究员,博士生导师,主要研究方向:新型电力系统优化运行与弹性提升。E-mail:zhiyi@zju.edu.cn
韩旭涛(1996—),男,通信作者,博士研究生,主要研究方向:新型电力系统优化决策、电力信息物理系统。E-mail:xutao_han@zju.edu.cn
许悦(1993—),男,博士研究生,主要研究方向:新型电力系统量子计算技术。E-mail:yue_xu@zju.edu.cn
收稿:2025-03-11,
修回:2025-07-04,
网络首发:2025-08-18,
纸质出版:2026-09-25
移动端阅览
李知艺,韩旭涛,许悦等.面向新型配电系统的多主体协同运行及弹性提升探讨[J].电力系统自动化,2026,50(18):1-16.
LI Zhiyi,HAN Xutao,XU Yue,et al.Discussion on Coordinated Operation and Resilience Enhancement of Multiple Entities for New Distribution System[J].Automation of Electric Power Systems,2026,50(18):1-16.
李知艺,韩旭涛,许悦等.面向新型配电系统的多主体协同运行及弹性提升探讨[J].电力系统自动化,2026,50(18):1-16. DOI: 10.7500/AEPS20250311003.
LI Zhiyi,HAN Xutao,XU Yue,et al.Discussion on Coordinated Operation and Resilience Enhancement of Multiple Entities for New Distribution System[J].Automation of Electric Power Systems,2026,50(18):1-16. DOI: 10.7500/AEPS20250311003.
伴随增量配电业务的开放发展与数智化技术的集成应用,新型配电系统中能量流与信息流在多主体间频繁交互、复杂耦合,滋生了信息-物理跨域的运行风险。针对跨域运行风险下的多主体协同运行及弹性提升问题,文中从数据、机制、应用3个层面循序渐进,探讨能量-信息融合增效的分布-协同调控模式。在数据层面,从时空多维度挖掘量测数据价值,联合多主体分析跨域运行风险;在机制层面,协同多主体内异构的能量与信息资源,构建纵深防御体系与安全可信的互动决策机制;在应用层面,从信息-物理耦合角度分析系统弹性运行能力,实现复杂动态环境中的闭环趋优运行。此外,结合现有研究成果,从宏观和微观角度展望来自社会系统的新风险并探讨未来研究方向。
With the opening-up and development of incremental distribution businesses and integrated application of digital-intelligent technologies
energy flow and information flow in the new distribution system frequently interact and are complexly coupled among multiple entities
causing cross-domain cyber-physical operational risks. To address the challenges of coordinated operation and resilience enhancement of multiple entities under cross-domain operational risks
a distributed-coordinated regulation mode for the efficiency improvement of energy-information is explored in a step-by-step manner across three levels: data
mechanism and application. At the data level
the spatio-temporal multi-dimensional value of measurement data is extracted to jointly analyze cross-domain operational risks among multiple entities. At the mechanism level
heterogeneous energy and information resources in multiple entities are coordinated to establish a deep defense system as well as a secure and trustworthy interactive decision-making mechanism. At the application level
the system’s resilient operation capability is analyzed from the perspective of cyber‑physical coupling
enabling closed‑loop near‑optimal operation in complicated dynamic environments. Building on existing studies
emerging social-system risks and future study directions are discussed from macro and micro perspectives.
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