Hafiz Usman Butt
Ph.D. Candidate at University of Waterloo, ON, Canada
Email: hafiz.usman.butt@uwaterloo.ca
Last updated: September 2022
Ph.D. Candidate at University of Waterloo, ON, Canada
Email: hafiz.usman.butt@uwaterloo.ca
Last updated: September 2022
I am a Ph.D. candidate in Power and Energy Systems at the University of Waterloo (UW), ON, Canada, and working as a graduate researcher in Smart Distribution Systems Research Laboratory under the supervision of Dr. Ramadan El-Shatshat and Dr. Ayman El-Hag. The key contributions of my Ph.D. work are as follows:
Developed a novel algorithm for a distribution transformer kVA load estimation via smart meter data, without requiring a fixed power factor assumption across customers. Performed mathematical analysis on convergence and stability.
Developed a non-intrusive framework for real-time disaggregation of PV generation and load consumption from smart meter data. The framework is simple, robust, and fully unsupervised, and does not require detailed system dynamics. Performed detailed mathematical analysis on accuracy and convergence.
Developed a four-layer framework to assess real-time and anticipated aging of a distribution transformer (DT), and estimates the end of DT remaining useful life. Numerical validation is conducted on electricity consumption of fifteen households in London, Ontario, electric vehicles penetration, and practical secondary distribution configuration.
Developed a real-time energy management controller for residential electricity consumer that determines the optimal decision of energy sharing among PV generation, electric vehicle charging/discharging, household load, and energy from power grid, while considering user’s preferences, incentive offers, and distribution transformer overloading.
Prior to joining UW, I was studying toward the master's degree in Electrical Engineering at the American University of Sharjah (AUS), United Arab Emirates, and working as a graduate researcher at Power Electronics and Motor Drives Laboratory with Dr. Shayok Mukhopadhyay and Dr. Habibur Rehman. The key contributions of my M.Sc. work are as follows:
Developed indirect field oriented controlled electric vehicle traction setup powered by a 400 V, 6.6 Ah Li-ion battery bank. The performance of the electric vehicle system is investigated by using a non-linear fractional-order proportional–integral controller.
Developed Universal Adaptive Stabilization based accurate and efficient online parameters estimation technique for a 400 V Li-ion battery bank. The framework is mathematically validated and its performance is demonstrated on a 400 V, 6.6 Ah Li-ion battery bank powering an induction motor driven prototype electric vehicle traction system.
Developed a quick and effective adaptive methodology for parameters estimation of a permanent magnet DC motor. Performed a detailed mathematical analysis on convergence, accuracy and stability.
Designed a disturbance rejection controller for a linear voice-coil motor to characterize the nonlinear dynamic friction of the servo motor.
I have completed my B.Sc. in Electrical Engineering from the University of Engineering and Technology (UET), Lahore, Pakistan which is one of the best institutions in Pakistan. During my undergraduate studies, I worked on the design and implementation of a three-phase direct matrix converter.
University of Waterloo | Canada Expected Graduation: July 2023
Ph.D. Power & Energy Systems (94.5%)
Thesis: Real-Time Energy Management Framework for Power Distribution System
American University of Sharjah | United Arab Emirates Graduated: May 2019
M.Sc. Electrical Engineering (3.91/4.0)
Thesis: Real-time Li-ion battery bank parameters estimation for electric vehicle traction system
University of Engineering & Technology | Pakistan Graduated: Aug 2016
B.Sc. Electrical Engineering (3.63/4.0)
Thesis: Design and implementation of a three-phase space vector modulation-based direct matrix converter