"State Assessment and Monitoring Technologies for Novel Power Systems and Intelligent Electrical Equipment"

Organizers:

Bowen Xu, Xi’an Jiaotong-Liverpool University, China

Associate Professor, Doctoral Supervisor. He has long been engaged in research on simulation calculation and structural optimization design of high-speed circuit breaker transmission systems, power transformer vibration and fault diagnosis, and the coupled mechanical-electrical-thermal multi-field response of insulating materials. His research team possesses extensive experience in simulation within the fields of structural and material engineering. To date, the team has published dozens of high-level academic papers. He has led five research projects related to this program. His achievements have been recognized with several awards, including a first-class prize for Scientific and Technological Progress at the provincial/ministerial level, a second-class prize for Liaoning Province Scientific and Technological Progress, and a third-class prize for Scientific and Technological Progress at the provincial/ministerial level.

Chen Cao, Shenyang University of Technology, China

Associate Professor, doctoral supervisor, leading talents of Shenyang, leader of National Natural Science Foundation Project. He has presided over 4 provincial and ministerial science and technology projects. As IEEE PES Power Switching Technical Committee (China) arc basic theory technical sub-committee secretary, China Electrotechnical Society industrial power grid energy saving and power quality special committee member, China Electrotechnical Society electrical testing special committee member, China Mechanical and Electrical products Circulation Association Standard Committee expert member. He has published more than 60 papers. He has authored 1 monograph. 16 authorized invention patents and 14 authorized utility model patents. He won 1 first prize of Liaoning Province Science and Technology Progress, 1 second prize of Liaoning Province Science and Technology Progress, 2 first prizes of China Machinery Industry Science and Technology, 1 first prizes of State Grid Corporation Science and Technology Progress, 1 first prize of China Electric Equipment Group Science and Technology Progress, and won the Liaoning Province Excellent graduate instructor team. He has presided over 16 projects. As Guest Editor for special issue of Energies, as journal reviewers of Energies, IEEE Transactions on Dielectrics and Electrical Insulation, IEEE ACCESS, Results in Engineering, AIP,  High Voltage Technology, Global Energy Interconnection, Power supply, Journal of Kunming University of Science and Technology.

Introcduction:

With the development of smart grid, higher requirements are put forward for the condition monitoring technology of power system and electrical equipment. At present, some conventional monitoring methods on the operation status of power system and electrical equipment have certain limitations, for example, the detection method for deformation fault of transformer winding includes frequency response and short circuit reactance method, and detection method for electrical contact fault of the high voltage switch includes loop resistance test, these methods have the limitations of offline detection, and cannot identify latent faults. The fault early warning technology of the power system does not fully take into account the impact of weather disasters, etc. This seminar focuses on discussing the research progress of condition monitoring technology for new power system and intelligent electrical equipment. The contents include, but are not limited to, the following topics: theoretical models, digital twins, experimental testing, spectrum identification, condition monitoring, intelligent perception, and diagnosis methods for new power system and intelligent electrical equipment.