Emerging Control of Power Electronic Converters for Electric Machines and Modern Power Systems

Modern power system is undergoing profound transformation driven by high new energy penetration, where electric machines and power electronic converters act as core interfaces for energy conversion and grid connection. However, challenges such as multi-energy coupling complexity, grid stability under high converter penetration, and demand for flexible regulation have exposed limitations of traditional control strategies. Emerging technologies like grid-forming control, model predictive control, and AI technology have become pivotal to addressing these issues, highlighting the urgency of integrated research on electric machine and grid-connected control.This Research Topic aims to encourage researchers and engineers to investigate emerging concepts and advanced technological control methods for electric machines and converters. Emerging approaches, such as grid-forming control, model predictive control, data-driven algorithm and large-scale AI model, offer promising solutions to enhance the stability of new power system and electric equipment. This Research Topic provides a platform for studies that bridge theoretical advancements with practical applications for electric machines and converters. Contributions that include experimental validation and real case studies are particularly encouraged.Topics include but are not restricted to:- High efficiency and high power density machine and drive system- Power electronics converters in new energy or energy storage- Characterization and modeling of electric powered device- Advanced grid-forming control strategies for grid integration- AI and new technology applications in grid-connected converters- Coordinated control strategies to enhance system and device stability Topic editors: Jiaxing Lei, Mi Tang, Jiawei Chen Source: https://www.frontiersin.org/research-topics/74941/emerging-control-of-power-electronic-converters-for-electric-machines-and-modern-power-systems