Mohammad Morabi Pazoki

I successfully completed my MSc in Electrical Engineering at Tarbiat Modares University in Tehran, Iran, with focusing on power systems. Currently, I am working on power system stability, specifically the Automatic Generation Control (AGC) and System Frequency Response (SFR) models. My research interests encompass power system stability, energy ancillary service markets, machine learning applications in energy systems, power system operation, and smart grid monitoring and control. I am always open to exploring new topics and areas of research. So far, I have gained extensive experience with power grid simulation software, such as DigSILENT PowerFactory and MATLAB/Simulink. I am also proficient in programming with MATLAB and Python. If you have any inquiries about me or my research, please feel free to contact me!

Living in : Iran

Gender : MaleRace : Southeast Asian

0Followers 0Following

Academic Profile

Posts

Contact Information

-Email

MohammadMorabiPazokiApplyChance Link

Educations

Electric Power Systems EngineeringMaster'sTarbiat Modares University2022-03-08 Iran

Electrical EngineeringBachelor'sQom University of Technology2019-09-21 Iran

Work Experiences

Research Assistant

at Tarbiat Modares Uni

I am currently working in this role

Intern

at SAIPA

Start : 21-Jun-2018

End : 21-Sep-2018

Teaching Assistant

at Qom Uni of Technology

Start : 22-Sep-2018

End : 19-Jan-2019

Research Assitant

at Tarbiat modares uni

Start : 21-Aug-2020

End : 19-Mar-2022

Electricity retailer

at Clean Energy

Start : 22-Aug-2021

End : 22-Aug-2022

English Scores

TOEFL01-Jan-0001

100/120Total

Reading :

0/30

Listening :

0/30

Speaking :

0/30

Writing :

0/30

Journal Publications

Publication Title :

Integrating the dynamic frequency security in the real-time scheduling considering the accurate models and network constraints.First author

Journal :

Electrical Engineering

Link :

View Link

Publication Title :

Enhanced Multi-Machine System Frequency Response with a Compensation Block: Fast and Accurate ModelFirst author

Journal :

Electric Power Systems Research

Link :

View Link

Research Keywords

Power System Stability

ML Applications in Energy Systems

Energy and Ancillary Service Markets

Low-Inertia Power systems