In order to promote the first-class undergraduate construction of mechanical design, manufacturing and automation based on "Double-ten-thousand Program", improve the construction level of mechanical engineering discipline, and broaden the students' academic horizons, Professor Wang Yanwu from the School of Artificial Intelligence and Automation of Huazhong University of Science and Technology was to deliver a report entitled " Multi-source Collaborative Control of DC Microgrid " on December 17. The teachers and graduate students of our School attended the report.
Wang Yanwu, professor and PhD supervisor of the School of Artificial Intelligence and Automation of Huazhong University of Science and Technology, editorial board member of Neurocomputing, ISA Transactions, Journal of the Franklin Institute, and Control and Decision, has long been engaged in the research of impulsive switched hybrid systems and control, cluster behavior analysis and control of complex networks, and distributed optimal scheduling and control of smart grids, and has published more than 80 SCI papers.
The report mainly introduced the cooperative control of distributed generation in DC microgrid. DC microgrid is a basic unit of energy Internet, which usually contains many types of power supply units. How to realize economic and reliable power supply and improve the power supply quality for multi-energy collaboration is a key issue in DC microgrid research. The related research has important application value in intelligent buildings, ships and other scenarios. The three schemes proposed by Professor Wang Yanwu's team all can realize current sharing regulation and bus voltage regulation. When the system model parameters are known, based on the theory of hybrid system and the idea of heterogeneous multi-agent cooperative control, they proposed the cooperative control scheme based on discrete information interaction strategy. Based on the idea of switching control, they proposed the scheme of supervising and switching current sharing controller. When the system model parameters were not available, they established the collaborative control scheme based on reinforcement learning.
After the report, the teachers and students raised some questions, and Professor Wang Yanwu gave professional answers accordingly.
