面向新型配电系统的多主体协同运行及弹性提升探讨OA
Discussion on Coordinated Operation and Resilience Enhancement of Multiple Entities for New Distribution System
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.
李知艺;韩旭涛;许悦;罗仁杰
浙江大学电气工程学院,浙江省 杭州市 310027浙江大学电气工程学院,浙江省 杭州市 310027浙江大学电气工程学院,浙江省 杭州市 310027浙江大学电气工程学院,浙江省 杭州市 310027
新型配电系统多主体信息-物理耦合分布-协同调控运行决策弹性
new distribution systemmultiple entitiescyber-physical couplingdistributed-coordinated regulationoperational decision-makingresilience
《电力系统自动化》 2026 (18)
1-16,16
国家自然科学基金面上项目(52477132). This work is supported by National Natural Science Foundation of China(No.52477132).
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