SS 04 - Advanced Topologies and Control Techniques for Multilevel Converters
Download Call for PapersPrinciple Organizer:
Name: Mohammad Sharifzadeh
Email: [email protected]
Affiliations: Department of Electrical Engineering, Ecole de Technologie Superieure, Montreal, Canada
Co-Organizer 1:
Name: Kamal Al-Haddad
Email: [email protected]
Affiliations: Department of Electrical Engineering, Ecole de Technologie Superieure, Montreal, Canada
Co-Organizer 2:
Name: Meysam Gheisarnejad
Email: [email protected]
Affiliations: Department of Electrical and Computer Engineering, Aarhus University, Denmark
Co-Organizer 3:
Name: Mohammad-Hassan Khooban
Email: [email protected]
Affiliations: Department of Electrical and Computer Engineering, Aarhus University, Denmark
Call for Papers
Theme:
Multilevel converters including DC/AC and AC/DC are nowadays used in various industrial, commercial, and domestic applications such as grid-connected systems, rectifiers, active power filter, UPS, electrical drives, etc. This converter makes use of abundant number of power semiconductor devices that should be properly controlled to have maximum efficiency. The primary challenge is to find appropriate topology, design the suitable PWM switching techniques, and apply the appropriate controller. Moreover, since the multilevel converters have nonlinear character, closed-loop based system using advanced controllers such as sliding mode, model predictive, adaptive, intelligent methods to meet the targeted application. Therefore, this special session concentrates on the latest development of multilevel converters topologies, control and device switching techniques but not limited to.
Topics of interest include, but are not limited to:
- PWM modulation technique for multilevel inverters
- Innovative and intelligent closed loop control strategies
- Novel current based control design for renewable energy generation using gridconnected converters
- Recent development techniques for common mode voltage control and drives application
- Machine learning and deep learning techniques for Power Electronics application
- Industrial applications in the area of power quality, electrification and transportation, UPS, etc.
Submission Procedure:
All the instructions for paper submission are included in our Paper Submission page.
Deadlines:
Full paper submission: March 15, 2023
Work-in-progress paper submission: March 31, 2023
Paper acceptance notification: April 15, 2023
Camera-ready paper submission: April 30, 2023