摘要
态势感知是能源互联网的核心任务,为运管调控各项决策提供重要辅助信息。能源互联网的复杂定性对其态势感知任务提出严峻挑战——受其所辖单元日益增长的规模、种类、主动性、耦合性以及外界环境等不确定因素的影响,能源互联网其复杂性与日俱增。系统复杂性所衍生的一些问题超出经典简化论的讨论范畴,亟需一种新的认知手段。该文通过关联数据、数据科学、物理系统与具体应用,提出能源互联网数字孪生系统;进一步,延伸出一种新型数据驱动的态势感知方法论,即数字孪生态势感知(digitaltwinsituation awareness,DT-SA)。其核心思想是将真实世界的固有难题转化到虚拟空间,继而借助复杂系统理论和大数据分析等工具予以解决,具体涉及孪生体建模、分析和认知等核心环节。此外,该文也讨论元宇宙技术对孪生体互联的增强作用,以及相关的科学问题。该系列研究有益于推进能源系统领域和数据科学领域的交叉融合,对于企业数字化转型、数字城市建设等具备参考价值。
Situation awareness(SA)is of critical importance to decision-making in energy internet of thing(EIoT).However,daily growth of complexity and uncertainty in EIoT,which may be caused by increasing size,diversity,initiative,and coupling of its members,together with the variable environment,challenges the SA task.Some complexity-derived problems go beyond classical reductionism.Therefore,a systematic means of cognition is urgently needed.Our work,tying together data,data science,real systems with domain-special applications,provides a digital twin of EIoT(EIoT-DT)enabling a novel data-driven SA paradigm,which is called DT-SA.DT-SA addresses various connected virtual entities(VEs)in the digital space,with an emphasis on their modeling,analysis,and recognition.Besides,we study metaverse to enhance the connection among VEs,as well as their corresponding scientific issues.This research has a leading effect in the field of both energy system and data science,and may be of benefit to enterprise digitization,digital city,etc.
作者
贺兴
陈旻昱
唐跃中
艾芊
张东霞
HE Xing;CHEN Minyu;TANG Yuezhong;AI Qian;ZHANG Dongxia(Key Laboratory of Control of Power Transmission and Conversion,Ministry of Education(Shanghai Jiao Tong University),Minhang District,Shanghai 200240,China;State Grid Shanghai Municipal Electric Power Company,Pudong New Area,Shanghai 200122,China;China Electric Power Research Institute,Haidian District,Beijing 100192,China)
出处
《中国电机工程学报》
EI
CSCD
北大核心
2024年第2期547-560,I0009,共15页
Proceedings of the CSEE
基金
国家自然科学基金项目(52277111)
上海市“科技创新行动计划”科技支撑碳达峰碳中和专项项目(21DZ1208300)。
关键词
态势感知
不确定性
能源互联网
复杂系统
数字孪生
大数据分析
元宇宙
situation awareness
uncertainty
energy internet of thing
complex system
digital twin
big data analytics
metaverse
