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信息物理深度融合背景下综合能源系统可靠性分析评述 被引量:38

Review of Reliability Analysis for Integrated Energy Systems With Integration of Cyber Physical Systems
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摘要 信息物理系统的深度融合使得综合能源系统在国内外得到迅速发展,以实现低碳高效的社会目标。考虑到不同能源系统之间、能源网络与信息网络之间的耦合关系以及多重不确定因素对综合能源系统的影响,首先概述了信息物理系统融合背景下开展综合能源系统可靠性评估的必要性。其次,指出综合能源系统中能源物理元件以及需求侧用能行为相应的等效多状态时变可靠性模型,并对综合能源物理系统、信息系统、信息物理融合系统的可靠性分析模型及方法进行广泛综述。此外,考虑信息系统与能源物理系统的相关关系,提出综合能源信息物理系统可靠性评估框架。最后,进一步指出新形势下综合能源系统可靠性研究的重点研究方向。 Deep integration of cyber physical systems enables integrated energy systems to develop rapidly for achieving low-carbon and efficient social goals.Considering deep coupling relationship between various energy systems,energy networks and cyber networks,and the impact of multiple uncertainties on integrated energy systems,necessity of reliability assessment of comprehensive energy systems under the background of integration of cyber physical systems was outlined.Moreover,the equivalent multi-state time-varying reliability models corresponding to energy physical components and demand-side energy consumption were discussed.The analysis models and methods for the energy physical system,cyber system and energy cyber physical system were extensively addressed.In addition,considering the correlation between cyber systems and energy physics systems,a comprehensive reliability assessment framework for integrated energy cyber physical systems was proposed.Finally,possible research directions for reliability assessment of comprehensive energy systems were pointed out under new situations.
作者 加鹤萍 丁一 宋永华 胡怡霜 尚楠 刘月琴 JIA Heping;DING Yi;SONG Yonghua;HU Yishuang;SHANG Nan;LIU Yueqin(College of Electrical Engineering,Zhejiang University,Hangzhou 310027,Zhejiang Province,China;State Key Laboratory of Internet of Things for Smart City(University of Macao),Taipa,Macao,China;Hangzhou RUNPAQ Energy Equipment Co.,Ltd.,Hangzhou 311305,Zhejiang Province,China)
出处 《电网技术》 EI CSCD 北大核心 2019年第1期1-11,共11页 Power System Technology
基金 国家自然科学基金项目(71871200)~~
关键词 综合能源系统 信息物理融合 多状态可靠性 多重不确定性 integrated energy systems cyber physical systems multi-state reliability multiple uncertainties
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