基于数字孪生与元宇宙的能源互联网认知系统论(二):面向复杂系统涌现现象的虚拟仿真推演框架OA北大核心CSTPCD
System Theory on Perception of Energy Internet of Things Based on Digital Twins and Metaverse(Ⅱ):Virtual Simulation and Analytical Deduction Framework for Emergency Phenomenon in Complex System
复杂性是能源互联网的重要特征与演进趋势,复杂性及其所伴随的涌现现象往往使得基于机理模型(白箱子)的仿真、分析、推演方法不再适用于复杂系统.得益于数据科学、仿真技术、孪生技术的共同发展,虚拟孪生技术成为应对复杂系统的利器.面向复杂性,该文对虚拟孪生技术及其应用前景进行探究,并重点讨论虚拟孪生系统的基本特性、支撑理论、技术体系、建设流程及其案例分析等,进一步提出基于虚拟仿真推演技术的涌现现象认知框架.该工作一方面为在能源系统中开展虚拟孪生工作提供参考借鉴,另一方面也有益于虚拟孪生技术的推进.
Complexity is an important feature and trend of the energy Internet of things(EIoT),which may disable the simulation,analysis,and deduction methods based on traditional mechanistic models(also regarded as white box)in EIoT—a complex system essentially.The integration of data science,simulation technology and virtual twin is being advocated as a powerful tool to deal with complex systems.Aiming at the complexity,this paper explores the virtual twin technology and its promising applications.Focusing on the basic properties and technical roadmap,a cognition framework of emergence phenomena in complex systems based on virtual simulation deduction technology is proposed.This work provides a reference for carrying out virtual simulation task in EIoT on the one hand,and is beneficial to the advancement of virtual simulation technology on the other hand.
贺兴;潘美琪;唐跃中;郝然;艾芊
电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 闵行区 200240上海交通大学国家电投智慧能源创新学院,上海市 闵行区 200240国网上海市电力公司,上海市 浦东新区 200122国家电力调度与控制中心,北京市 西城区 100032
动力与电气工程
复杂性认知涌现虚拟仿真能源互联网(EIoT)
complexityperceptionemergencyvirtual simulationenergy Internet of things(EIoT)
《中国电机工程学报》 2024 (011)
4311-4322,中插11 / 13
国家重点研发计划项目(2021YFB2401204);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). National Key R&D Program of China(2021YFB2401204);Project Supported by National Natural Science Foundation of China(52277111);Shanghai"Science and Technology Innovation Action Plan"Science and Technology Support Carbon Peak and Carbon Neutrality Special Project(21DZ1208300).
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