Dr. Pourya Shamsi

Assistant Professor

Electrical & Computer Engineering

 

Dr. Pourya Shamsi earned his B.Sc. and Ph.D. degrees in Electrical Engineering from the University of Tehran, Iran in 2007, and the University of Texas at Dallas in 2012, respectively. He is currently an Assistant Professor of Electrical Engineering at Missouri University of Science and Technology. His research interests include but are not limited to microgrids, distributed generation, reliability, modeling, VHF UHF SHF switching converters, and motor drives. He has six years of industrial experience.

Personal Website:

Dr. Shamsi's Personal Website
  • Hyb-mic converter
  • Microgrid with a High Degree of Renewable Penetration

Hyb-mic converter


Hyb-mic converter

Dr. Shamsi Project Image

INVESTIGATORS
Pourya Shamsi

FUNDING SOURCE
InnoCit LLC - DOE 


PROJECT DESCRIPTION
The main objective of this project is to develop a commercial prototype and to investigate the technical and commercial merits of the HybMic converter.  Wide-bandgap (WBG) semiconductor devices will be used in this effort.  This work aims to demonstrate the benefits of WBG semiconductors both at the component and system levels. 


REPRESENTATIVE PUBLICATIONS

  1. "Ultra-low ripple inverters for distributed generation applications." Shen, Ang, Pourya Shamsi, and Mehdi Ferdowsi. 2016 IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE, 2016.
  2. "Design and Analysis of a Class of Zero Fundamental Ripple Converters," P. Shamsi; A. Shen, in IEEE Transactions on Power Electronics, early access

 

Microgrid with a High Degree of Renewable Penetration


Microgrid with a High Degree of Renewable Penetration


INVESTIGATORS
Pourya Shamsi, Mehdi Ferdowsi

FUNDING SOURCE
Ameren
 

PROJECT DESCRIPTION
To reduce the vulnerability of the grid to high penetration levels of renewable resources, this project will study the effects of renewable-resource stochasticity on the load flow within a grid and will perform a cost-benefit analysis of integrating battery storage systems to cope with production intermittencies. To this end, an optimization platform will be developed to select the technology, capacity, location, and optimal dispatch of an energy storage system to regulate the production of a renewable energy resource.
 

REPRESENTATIVE PUBLICATIONS
None