Welcome to Intelligent Power Electronics at Grid Edge (IPEG) Research Laboratory. We are a research group with state-of-the-art laboratory located in Downtown Chicago at University of Illinois at Chicago. IPEG lab is equipped with various modern equipment and is growing. Our goal is to perform research in the area of power electronics dominated grids, energy storage systems, smart inverters, and cybersecurity analytics of power system. The present website includes highlights of our research outcomes, current research staff, and ongoing research projects. We are always looking for opportunities to establish a working relationship. Prospective students should apply to the Electrical and Computer Engineering Department graduate program and contact the lab director Dr. Shadmand.
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IPEG Research Lab Spotlight
- IPEG Ph.D. Student Mohsen Hosseinzadehtaher received the prestigious best paper award from 2019 International IEEE Conference on Smart Grid and Renewable Energy for his paper co-authored with Ph.D. students Ahmad Khan, Matt Baker and Dr. Mohammad Shadmand. Their paper proposed novel self-healing predictive control scheme of battery energy storage system for pulse power loads in navy applications. (More Information)
- IPEG former Student Mitchell Easley received the prestigious best paper award from 2019 IEEE Technologies on Homeland Security Conference organized by MIT Lincoln Laboratory and Raytheon for his paper co-authored with Ph.D. student Amin Y. Fard and Dr. Mohammad Shadmand on cyber-security analytics of power distribution system using Smart Inverters. (More Information)
- Professor Mohammad Shadmand and his Ph.D. students have been awarded 2019 Myron Zucker Student Faculty Grant from IEEE Industry Application Society (IAS) and IEEE Foundation for the project “Compact, Reliable, and Robust GaN-based Active Rectifiers for More Electric Aircraft“. Dr. Shadmand and Ph.D. students Ahmad Khan, Mohsen Hosseinzadehtaher and Amin Fard will design high power density compact power converters for more electric aircraft assuring high resiliency, robustness and efficiency.
GaN-based Active Rectifiers for More Electric Aircraft
IPEG research lab at UIC (former PEAS research lab at KSU) developed a high power density compact power converters for more electric aircraft assuring high resiliency, robustness and efficiency. During the designing procedure, the effect of parasitics on steady-state operation are taken into account. Innovative design techniques are introduced to mitigate the parasitic effects in the targeted high frequency for single-phase active rectifiers. Certain design conventions in PCB layouts can lead to the asymmetrical parasitic inductances between positive and negative half switching cycles, which may further result in the asymmetrical steady state operation, higher electrical stresses, and higher thermal stresses. All these challenges are addressed during the design procedure.
Hierarchical Model Predictive Control for Cascaded Multilevel Inverter
IPEG research lab at UIC (former PEAS research lab at KSU) developed a a hierarchical finite-set model predictive control scheme for grid-tied cascaded multilevel inverters with independent active and reactive power injection capabilities. The proposed controller has a hierarchical framework to eliminate the computationally burdensome cost function optimization and associated weight factors of the control objectives. The control formulation approach allows for multi-objective optimization with an error-tolerance framework. The control scheme achieves active and reactive power control with switching loss minimization while extracting power evenly from the independent voltage sources.
Smart Photovoltaic Inverter with Grid Fault-ride Through Capability
IPEG research lab at UIC (former PEAS research lab at KSU) developed a single stage smart photovoltaic inverter in collaboration with Texas A&M University at Qatar. An autonomous model predictive control scheme is proposed for a single stage quasi-Z-Source grid-connected photovoltaic inverter to facilitate switching between modes of operation: maximum power point tracking (MPPT) and low voltage ride through (LVRT). The proposed smart PV inverter can respond to rapidly changing PV ambient and grid conditions and appropriately alter the current injection. The proposed controller is complemented by an observer-based MPPT algorithm with an adaptive step-size to quickly pull the PV toward and away from the MPP as necessary. The performance of the controller is verified experimentally for several grid fault and reactive power injection scenarios. The ultimate goal of this research is to develop autonomous control schemes for 1 MW medium-voltage SiC based photovoltaic cascaded multilevel inverter; this project is funded by QNRF.