赵鹏, 蒲天骄, 王新迎, 韩笑. 面向能源互联网数字孪生的电力物联网关键技术及展望[J]. 中国电机工程学报, 2022, 42(2): 447-457. DOI: 10.13334/j.0258-8013.pcsee.211977
引用本文: 赵鹏, 蒲天骄, 王新迎, 韩笑. 面向能源互联网数字孪生的电力物联网关键技术及展望[J]. 中国电机工程学报, 2022, 42(2): 447-457. DOI: 10.13334/j.0258-8013.pcsee.211977
ZHAO Peng, PU Tianjiao, WANG Xinying, HAN Xiao. Key Technologies and Perspectives of Power Internet of Things Facing With Digital Twins of the Energy Internet[J]. Proceedings of the CSEE, 2022, 42(2): 447-457. DOI: 10.13334/j.0258-8013.pcsee.211977
Citation: ZHAO Peng, PU Tianjiao, WANG Xinying, HAN Xiao. Key Technologies and Perspectives of Power Internet of Things Facing With Digital Twins of the Energy Internet[J]. Proceedings of the CSEE, 2022, 42(2): 447-457. DOI: 10.13334/j.0258-8013.pcsee.211977

面向能源互联网数字孪生的电力物联网关键技术及展望

Key Technologies and Perspectives of Power Internet of Things Facing With Digital Twins of the Energy Internet

  • 摘要: 随着“碳达峰、碳中和”目标与以新能源为主体的新型电力系统的提出,能源技术与数字技术进一步深度融合,电网加速向能源互联网演进。构建能源互联网及其数字孪生系统对电力物联网技术提出了更高要求,也极大拓展了电力物联网的内涵和外延。该文主要围绕如何构建面向能源互联网数字孪生系统的电力物联网,分析其面临的两大科学问题:物理数字融合建模与电网资源协同互动,提出电力物联网体系架构和安全防御机制,研究“端–边–管–云–智”等多层级的关键支撑技术,包括精准感知与高效通信、高并发接入与海量数据管理、融合建模与趋优进化等技术,最后从设备、电网与用户三方面展望电力物联网支撑下的电网业务智能化典型应用。

     

    Abstract: With the goal of "Peak Emission and Carbon Neutrality" and building new power system with renewable energy as main body, energy technology and digital technology are further integrated, and the power grid is accelerating its evolution towards the energy internet. The construction of the energy internet and its digital twin system has put forward higher requirements for the IoT technology, and greatly expanded the connotation and extension of the IoT. This paper focused on how to build a power IoT for the digital twin system of energy internet, analyzed two major scientific problems: physical-digital fusion modelling and collaborative interaction of grid resources, proposed a power IoT architecture and security defense mechanism, and investigated the key support technologies at multiple levels. The key supporting technologies were studied, including accurate sensing and efficient communication, high concurrent access and massive data management, fusion modelling and evolutionary convergence, etc. Finally, the typical applications of power business intelligence supported by power IoT were prospected from three aspects: equipment, grid and users.

     

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