Thesis title:
fault detection in multi-terminal direct current networks with the help of deep learning methods
Email address: rezasouri@ut.ac.ir
Personal page/website:
Thesis title:
Fault detection of key open circuit in modular multilevel converter with half bridge cell with the help of artificial intelligence
Email address: navidrajabi@ut.ac.ir
Personal page/website:
Thesis title:
Open circuit fault detection of the key in the multi-level modular hybrid converter
Email address: aminrezakhajeheydari@gmail.com
Personal page/website:–
Thesis title:
Learning-based resilient predictive control of grid-connected modified single-phase sequential bridge converter in photovoltaic application
Email address: Mohammadalishekarabi@gmail.com
Personal page/website:
Thesis title:
Fault tolerance in modular multilevel converter with hybrid structure
Email address: m.mannani@ut.ac.ir
Personal page/website:
Thesis title:
Modeling methods of multi-level modular converter in normal working conditions and fault of multi-terminal dc network
Email address: omidierfan@ut.ac.ir
Personal page/website:
Thesis title:
Modular multilevel converter control in case of asymmetric ac fault
Email address: mahdieslami15@gmail.com
Personal page/website:
Thesis title:
Modular multilevel converter control in case of asymmetric ac fault
Email address: reza.alizadeh@ut.ac
Personal page/website:–
Power Electronics and Energy Systems Laboratory was established in 2010 with the aim of training efficient engineers and researchers. In this educational and research environment, specialized fields such as the design of power electronic systems, including all types of power supplies, inverters and rectifiers, high and multi-level power converters, types of high voltage or HV systems, energy conversion systems, etc. are under study and research.
Design: Mahyan
