中国电机工程学报2024，Vol.44Issue(24)：9546-9558,中插4,14.DOI:10.13334/j.0258-8013.pcsee.230889
基于数字孪生与元宇宙的能源互联网认知系统论(三):复杂系统群智调控理论及其框架
System Theory Study on Situation Awareness of Energy Internet of Things Based on Digital Twins and Metaverse(III):Theory and Framework for Energy Scheduling and Management Considering Swarm Intelligence
摘要
Abstract
The rapid growth of distributed energy resources(DER)in energy internet of things(EIoT)poses a challenge to traditional scheduling modes,which mainly cater to large-scale loads and generators.In response,our work proposes a novel framework that leverages swarm intelligence arising from the aggregation behavior of diverse DERs in the virtual space.Our framework integrates virtual twins,data science,systems theory,and 4th-Paradigm(data-intensive scientific discovery paradigm),to facilitate a cutting-edge energy scheduling approach.Concretely,we use system theory and 4th-Paradigm as the guiding ideology;we set big data analysis,machine learning,and human-machine hybrid intelligence as the core;we take digital twin,virtual simulation,high-dimensional statistics,spatial-temporal data analysis,human-in-the-loop,and knowledge embedding as the technical means.Our goal is to achieve data empowerment and intelligence improvement through seamless data connectivity,virtual-real interaction,ultimately leading to the development of a new theory on complex system scheduling.关键词
调度/虚拟孪生/分布式能源资源/数据密集型科学发现范式/群智/数据赋能Key words
scheduling/virtual twin/distributed energy resources/data-intensive scientific discovery paradigm/swarm intelligence/data empowerment分类
信息技术与安全科学引用本文复制引用
贺兴,唐跃中,韩烨宸,高扬,陈赟,黄兴德,艾芊..基于数字孪生与元宇宙的能源互联网认知系统论(三):复杂系统群智调控理论及其框架[J].中国电机工程学报,2024,44(24):9546-9558,中插4,14.基金项目
国家重点研发计划项目(2021YFB2401204) （2021YFB2401204）
国家自然科学基金(52277111) （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) （21DZ1208300）
Project Supported by National Science Foundation of China(52277111) （52277111）
Shanghai"Science and Technology Innovation Action Plan"Science and Technology Support Carbon Peak and Carbon Neutrality Special Project(21DZ1208300). （21DZ1208300）
