李江涛

西安交通大学电气工程学院教授，博士生导师，IEEE会员、《High Voltage》科学编辑。西安交通大学工学学士、硕士，新加坡国立大学工学博士。研究方向包括电力设备智能感知、脉冲功率技术与等离子体、生物电磁。曾主持承担国家级、省部级以及军工项目30余项，在国内外学术期刊上发表研究论文50余篇，申请专利20余项。主持教改项目3项以及国际研究生全英文课程建设。指导研究生在各类电子设计、创新创业大赛中多次获得全国、一二等奖。多次获得优秀党员、优秀教师、教学工作先进个人、研究生电子设计竞赛优秀指导教师等称号。

Jiangtao Li is a professor and doctoral supervisor in the School of Electrical Engineering, Xi'an Jiaotong University, a member of IEEE, and a scientific editor of High Voltage. He has B.S. and M.S. degrees in engineering from Xi'an Jiaotong University and a Ph.D. degree in engineering from the National University of Singapore, focusing on the study of intelligent sensing of power equipment, pulsed power technology, and plasma, and bioelectromagnetism. He has presided over more than 30 national/provincial/ministerial-level and military projects, published more than 50 research papers in domestic and international academic journals, and applied for more than 20 patents. He has also presided over 3 educational reform projects and the construction of international graduate full English courses. His graduate students have won many prizes in electronic design, innovation, and entrepreneurship competitions. He has won titles of Excellent Party Member, Excellent Teacher, Advanced Individual in Teaching, and Excellent Instructor of Postgraduate Electronic Design Competition.

摘要

数字孪生可以将电网物理实体以数字化的方式映射到虚拟空间，融合大数据、人工智能、云计算等新兴技术，通过物理空间的实时多物理信息在数字空间对电网状态以及重要电力设备进行诊断、评估和预测，从而实现电网的精细化、系统化和不同层次的全智能化。本讲座重点介绍数字孪生的基本概念、涉及到的相关核心技术以及与电网结合后的未来展望。

    Abstract:

The digital twin can digitally map the physical entities of the grid to virtual space; integrate emerging technologies such as big data, artificial intelligence, and cloud computing; and diagnose, evaluate, and predict the state of the grid as well as important power equipment in digital space through real-time multi-physical information in physical space, thus realizing the refinement, systematization, and full intelligence of the grid at different levels. This talk focuses on the basic concept of the digital twin, related involved core technologies, and the future outlook when combined with the grid.