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1. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京 100190
2. 中国科学院大学人工智能学院,北京 100049
3. 青岛智能产业技术研究院,山东 青岛 266109
4. 武汉大学电气与自动化学院,湖北 武汉 430072
Published Online:2021-12,
Published:15 December 2021
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Xiaoshuang LI, Xiao WANG, Linyao YANG, et al. MetaGrid: a parallel grids based approach for next generation smart power systems[J]. Chinese journal of intelligent science and technology, 2021, 3(4): 387-398.
Xiaoshuang LI, Xiao WANG, Linyao YANG, et al. MetaGrid: a parallel grids based approach for next generation smart power systems[J]. Chinese journal of intelligent science and technology, 2021, 3(4): 387-398. DOI: 10.11959/j.issn.2096-6652.202139.
随着新能源设备的大规模接入,大电网系统的脆弱性、开放性和不确定性显著上升,系统的管理与控制面临重大的挑战。构建基于平行系统与元宇宙思想的平行电网系统,形成虚实融合的智能大电网管理与控制理论方法,是解决上述问题的一种可行途径。介绍平行电网系统MetaGrid的基本体系架构,在此基础上分析平行电网系统的关键技术,并展望平行电网潜在的应用场景。基于300节点热稳案例,提供一个平行电网应用案例的原型。期望通过构建平行电网系统,对实际电网系统进行精准建模,借助大规模的计算实验和虚实闭环的平行执行,实现实际电网系统和人工电网系统的虚实互动,促进电力系统从依赖仿真的管控走向基于平行电网的智能管理与控制。
With the large-scale integration of new energy devices
the fragility
openness and uncertainty of the bulk power grid system have increased significantly
and the system management and control are facing significant challenges.Constructing a parallel grid based on the idea of parallel systems and metaverse to form an intelligent bulk power grid management and control theoretical approach of virtual-real integration is one way to solve the above problems.The basic framework of the parallel power grid system MetaGrid was introduced
the key technologies of the parallel power grid system were analyzed
and the potential application scenarios of the parallel power grid were prospected.Based on the 300-nodes thermal stability case
a prototype of a parallel grid application case was provided.It is expected that by constructing a parallel grid system
the real grid system will be accurately modeled
and with the help of large-scales computational experiments and parallel execution
the virtual-real interaction between the real grid system and the artificial grid system will be realized
and the power system will be promoted from simulation-dependent control to parallel grid-based intelligent management and control.
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