Hafiz M. Usman

• Doctor of Philosophy
• University of Waterloo

A major portion of a power system's asset portfolio comprises distribution transformers on residential premises. The rapid and massive acceptance of electric vehicles is posing challenges for distribution transformers to operate over their expected lifespan. This work proposes a four-layer framework to assess the real-time and anticipated aging of...

Energy management (EM) strategies for a power distribution system have attracted attention in the past few decades. EM within smart residential distribution systems is a long-standing challenge that involves effective scheduling of electric vehicle charging and discharging while utilizing available photovoltaic resources and efficiently drawing pow...

As the number of behind-the-meter (BTM) photovoltaic (PV) modules installed in residential premises increases, it is important to develop a non-intrusive framework for the real-time assessment of BTM PV generation from the smart meter data of the end users. This framework not only enhances the observability of residential premises but also enables...

The growing number of photovoltaic (PV) modules installation at residential rooftops is causing higher contribution of solar power towards total power generation. The accurate information of behind-the-meter (BTM) PV generation is sub-stantial for modern power distribution system operations, such as load forecasting, demand response (DR), and time-...

This paper proposes an accurate and efficient Universal Adaptive Stabilizer (UAS) based online parameters estimation technique for a 400 V Li-ion battery bank. The battery open circuit voltage, parameters modeling the transient response, and series resistance are all estimated in a single real-time test. In contrast to earlier UAS based work on ind...

This paper proposes an accurate and efficient Universal Adaptive Stabilizer (UAS) based online parameters estimation technique for a 400 V Li-ion battery bank. The battery open circuit voltage, parameters modeling the transient response, and series resistance are all estimated in a single real-time test. In contrast to earlier UAS based work on ind...

A major challenge observed for smart meters installed at North American residential premises involves the absence of reactive power consumption measurement of residential customers, which limits the accurate assessment of kVA loading for a distribution transformer (DT), necessary to assess the loss of life and failure of a DT. This paper presents a...

This paper presents a hardware-free novel strategy for a distribution transformer kVA load estimation, without requiring a fixed power factor assumption or reactive power load information across residential electricity consumers. The proposed strategy provides a simple and effective fixed-point iteration-based formulation for a balanced secondary d...

This work improves the performance of electric vehicle traction system by using nonlinear fractional-order proportional integral (FO-PI) controller. The functionality of FO-PI controller is benchmarked against integer-order proportional-integral (IO-PI) controller. A 400 V, 6.6 Ah Li-ion battery bank is designed to power an indirect field oriented...

This paper presents a quick and effective adaptive estimation methodology for parameters estimation of a permanent magnet (PM) DC motor. The proposed technique uses a universal adaptive stabilizer (UAS). This technique estimates PMDC motor parameters in a single experimental run using input voltage, current and speed. Over time, due to aging and we...

This paper aims to improve the performance of DC motor drive system by utilizing a fractional-order proportional-integral (FOPI) speed regulator. Available tuning guidelines to design the FOPI speed regulator for a DC motor drive system are also presented. Two closed loop speed control strategies, namely DC motor armature voltage control and armatu...

Abstract available at: http://hdl.handle.net/11073/16439

This letter presents the design of an optimal sinusoidal tracking and disturbance rejection controller for a linear voice-coil motor. The optimal tracking and disturbance rejection system is used to characterize the nonlinear dynamic friction of the servo motor. The control scheme allows investigating the hysteresis characteristics of friction as a...

Load frequency control (LFC), is an effective methodology to regulate the frequency but time delays jeopardize the stability of the power system. With the expansion of the power grid and introduction of renewable sources, the duration of these time delays is predicted to grow. This paper explores the performance of different controllers from litera...

This paper proposes a two-stage universal adaptive stabilizer (UAS)-based optimization technique for an accurate and efficient estimation of Li-ion battery model parameters. The first stage utilizes an UAS-based adaptive parameters estimation (APE) technique to acquire an initial estimate of battery model parameters. The second stage utilizes one o...

This paper presents a robust state space sinusoidal reference tracking controller that is able to estimate the overall friction faced by the platform attached to a linear voice coil motor. The system proposed is able to estimate overall friction faced by the platform attached and is also able to compensate for it. This paper discusses the various s...