Advanced Power Converters and Drives in Smart Grid Systems

Dear Colleagues,

Encouraged by rapid technological achievements in smart grids and renewable energy systems, power electronic converters and drives have been involved in various electric applications, ranging from generation, storage, and transmission to consumption.  It is challenging to achieve accurate power regulation due to the system nonlinearities coupling with the states. Apart from this, it is well known that the control performance is always severely affected by parameter uncertainties and external disturbances. Limited control precision cannot satisfy the high requirements, especially under large external disturbances and model uncertainties. It is imperative to develop reliable, advanced controllers that can maintain a balance between the static and dynamic performances.

This Research Topic calls for contributions to address the challenges of advanced converters and drives in smart grid system. The topic welcomes manuscripts ranging from technical solutions on specific application scenarios to general surveys and tutorials. Possible themes include, but are not limited to:

1. Artificial intelligence control and optimization design with the consideration for multiple converter and drive systems.
2. Data-driven and learning-based control methods.
3. Model predictive control in power converter and drive systems.
4. Optimal and robust control with uncertainty and disturbance rejection.
5. Reinforcement learning and deep-learning-assisted control methods.
6. Distributed learning and optimization over network-connected converter and drive systems.
7. Applications of learning or optimization-based control in power systems, drive systems, transportation systems, etc.

Dr. Zuo Wang
Dr. Junxiao Wang
Dr. Huiming Wang
Guest Editors

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