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Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

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Walid Morsi Ibrahim
PhD, PEng

Associate professor

Department of Electrical, Computer and Software Engineering
Faculty of Engineering and Applied Science

Safeguarding Canada's electrical power grid operation from the threat of a natural disaster or cyberattack.

Languages
English, French, Arabic



  • PhD - Electrical Engineering Dalhousie University, Halifax, Nova Scotia 2009
  • MSc - Electrical Engineering Suez Canal University, Egypt 2002
  • BSc - Electrical Engineering Suez Canal University, Egypt 1998

Impact of Second-Generation Plug-In Battery Electric Vehicles on the Aging of Distribution Transformers Considering TOU Prices

Boston, Massachusetts July 17, 2016

IEEE Power and Energy Society General Meeting

Smart Grid Research

Oshawa, Ontario January 1, 2015

IEEE Research Showcase

Understanding Power Quality in Smart Grids

Toronto, Ontario May 5, 2011

10th IEEE International Conference for Upcoming Engineers

A New Approach for Fault Classification in Microgrids Using Optimal Wavelet Functions Matching Pursuit

Published in IEEE Transactions on Smart Grid January 24, 2017
Tamer S. Abdelgayed, Walid G. Morsi & Tarlochan S. Sidhu

This work introduces a new approach that uses a combination of wavelet functions and Machine Learning (ML) for fault classification in MicroGrids (MGs). Particle Swarm Optimization is applied to identify the optimal wavelet functions combination that serves as a matching pursuit to extract the most prominent features, which are hidden in the current/voltage waveforms when applying the Discrete Wavelet Transform. Four different classification techniques (i.e. Decision Tree, K-Nearest Neighbor, Support Vector Machine, and Naïve Bayes) are used to automate the procedure of fault classification in MGs and their performances are statistically compared. The Consortium for Electric Reliability Technology Solutions (CERTS) MG is used to exemplify the effectiveness of the proposed approach after modeling the MG system in Power Systems Computer Aided Design/Electromagnetic Transient Direct Current (PSCAD/EMTDC) software package.

View more - A New Approach for Fault Classification in Microgrids Using Optimal Wavelet Functions Matching Pursuit

Optimal Secondary Distribution System Design Considering Rooftop Solar Photovoltaics

Published in IEEE Transactions on Sustainable Energy May 26, 2016
Shady A. El Batawy & Walid G. Morsi

This study presents a new approach for optimally designing a secondary distribution system, taking into consideration the effect of prosumers owning rooftop solar photovoltaics in residential subdivisions. The methodology is presented and the optimization problem of secondary distribution system (SDS) design in the presence of prosumers is mathematically formulated. Moreover, numerical examples that consider houses of different types/sizes are introduced to exemplify the proposed approach.

View more - Optimal Secondary Distribution System Design Considering Rooftop Solar Photovoltaics

A New Harmony Search Approach for Optimal Wavelets Applied to Fault Classification

Published in IEEE Transactions on Smart Grid April 25, 2016
Tamer S. Abdelgayed, Walid G. Morsi & Tarlochan S. Sidhu

This paper presents a novel approach based on the Harmony Search Algorithm (HSA) to optimally determine suitable wavelet functions and wavelet decomposition levels for accurate fault classification in Transmission Lines (TLs) unlike previous works in which only one arbitrary wavelet function is used. Discrete Wavelet Transform (DWT) is used to extract the features in the voltage and/or current signals using the identified wavelet functions. Machine learning classifiers are then used to build a proper classification model to automate the fault classification process. The results of applying the proposed approach are presented and discussed, and conclusions are drawn.

View more - A New Harmony Search Approach for Optimal Wavelets Applied to Fault Classification

Nonintrusive Load Monitoring Using Semi-Supervised Machine Learning and Wavelet Design

Published in IEEE Transactions on Smart Grid March 10, 2016
Jessie M. Gillis & Walid G. Morsi

This paper presents a new approach based on semi-supervised machine learning and wavelet design applied to nonintrusive load monitoring. Co-training of two machine learning classifiers is used to automate the process of learning the load pattern after designing new wavelets. The numerical results demonstrating the effectiveness of the proposed approach are discussed and conclusions are drawn.

View more - Nonintrusive Load Monitoring Using Semi-Supervised Machine Learning and Wavelet Design

Nonintrusive Load Monitoring Using Wavelet Design and Machine Learning

Published in IEEE Transactions on Smart Grid January 1, 2016
Jessie M. Gillis, Sami M. Alshareef & Walid G. Morsi

This paper presents a new concept based on wavelet design and machine learning applied to nonintrusive load monitoring. The wavelet coefficients of length-6 filter are determined using procrustes analysis and are used to construct new wavelets to match the load signals to be detected, unlike previous work which used previously designed wavelet functions that are special cases of Daubechies filters to suit other nonpower system applications such as communications and image processing. The results of applying the new concept to a test system consisting of four loads have shown that the newly designed wavelet can improve the prediction accuracy compared with that obtained using Daubechies filter of order three while keeping the prominent features of the pattern in the detail levels.

View more - Nonintrusive Load Monitoring Using Wavelet Design and Machine Learning

Optimal Secondary Distribution System Design Considering Plug-In Electric Vehicles

Published in Electric Power Systems Research January 1, 2016
S.F.Abdelsamad, W.G.Morsi & T.S.Sidhu

In this paper, the problem of secondary distribution system (SDS) design considering plug-in electric vehicles (PEVs) charging demand is addressed using meta-heuristic optimization to minimize the overall secondary system costs. The objective function and the necessary constraints are mathematically formulated and presented. The effectiveness of the proposed SDS design approach is evaluated in terms of the overall SDS costs and transformer loss of life (LOL). The proposed design approach represents an effective tool for electric utilities to accommodate PEVs during the planning stage of SDS and also when retrofitting existing SDS.

View more - Optimal Secondary Distribution System Design Considering Plug-In Electric Vehicles

Impact of Second-Generation Plug-In Battery Electric Vehicles on the Aging of Distribution Transformers Considering TOU Prices

Published in IEEE Transactions on Sustainable Energy October 1, 2015
Yasser O. Assolami & Walid G. Morsi

This paper investigates the impact of second-generation (SG) plug-in battery electric vehicles (PBEVs) on distribution transformers insulation life considering the time-of-use (TOU) prices. The effect of dual Level 2 charging, 3.7kW, and 6.6kW on the loss of life (LOL) of a distribution transformer is also studied. The LOL results demonstrating the effectiveness of SG PBEVs charging as two clusters versus one cluster are discussed and conclusions are drawn.

View more - Impact of Second-Generation Plug-In Battery Electric Vehicles on the Aging of Distribution Transformers Considering TOU Prices

Impact of Wind-Based Distributed Generation on Electric Energy in Distribution Systems Embedded With Electric Vehicles

Published in IEEE Transactions on Sustainable Energy January 1, 2015
Sherif F. Abdelsamad, Walid G. Morsi & Tarlochan S. Sidhu

In this paper, the synergy between wind-based distributed generation (DG) and plug-in electric vehicles (PEVs) is studied. MonteCarlo is used to address the uncertainties associated with wind speed variations and charging of PEVs hence simulating their impact at the distribution system (DS) level considering different DG penetration (up to 35%) and different PEV penetration (up to 50%). The excess in active/reactive power, energy exceeding normal (EEN), unserved energy (UE), and energy losses are investigated in this study. Forty-eight penetration scenarios involving DGs and PEVs are studied in this work and simulated in the IEEE 123-bus radial power distribution test system after modeling its secondary circuit in OpenDSS. The results of the simulation show that 30% wind-based DG penetration may be adequate to supply the active energy needed to charge PEVs. However, this might result in a reverse reactive power flow back to the substation.

View more - Impact of Wind-Based Distributed Generation on Electric Energy in Distribution Systems Embedded With Electric Vehicles

Probabilistic Impact of Transportation Electrification on the Loss-of-Life of Distribution Transformers in the Presence of Rooftop Solar Photovoltaic

Published in IEEE Transactions on Sustainable Energy October 1, 2015
Sherif F. Abdelsamad, Walid G. Morsi & Tarlochan S. Sidhu

In this paper, the impact of plug-in electric vehicle (PEV) charging on distribution transformer overload and loss-of-life (LOL) in the presence of rooftop solar photovoltaic (PV) is probabilistically quantified. The Monte Carlo (MC) method is used to address the uncertainties resulting from solar irradiance and temperature in case of solar PV and also to emulate the probabilistic aspect of PEV charging. Twenty scenarios of different penetration levels of solar PVs and PEVs are considered in this work. The results have shown significant reduction in percentage LOL due to solar PV contribution in the case of all-electric (AE) residential dwellings and hence the transformer replacement may be deferred by nearly 4 years, while it has a minor effect in the case of residential dwellings with gas heat and electric water heaters (WWH).

View more - Probabilistic Impact of Transportation Electrification on the Loss-of-Life of Distribution Transformers in the Presence of Rooftop Solar Photovoltaic

Power Quality Assessment in Distribution Systems Embedded with Plug-in Hybrid and Battery Electric Vehicles

Published in IEEE Transactions on Power Systems February 17, 2015
Matthew K. Gray & Walid G. Morsi

The impact of electric vehicles on power quality in electric distribution system is evaluated. Voltage deviations such as under/over voltage and voltage imbalance are probabilistically quantified using Monte Carlo. Moreover, distribution transformers overload and unbalance are assessed for different vehicle types (i.e., plug-in hybrid and battery electric), different vehicle penetration (up to 50%) while considering level 1 and level 2 charging. The results of Monte Carlo reveal that battery electric vehicles can cause more overload to distribution transformers compared to plug-in hybrid electric vehicles. Also level 2 and level 1 can be problematic resulting in secondary bus undervoltage and transformer unbalance, respectively.

View more - Power Quality Assessment in Distribution Systems Embedded with Plug-in Hybrid and Battery Electric Vehicles

Outstanding Master's Thesis Award

Ontario Tech University April 1, 2017

Under the supervision of Dr. Morsi, Jessie Michael Gillis, Master of Applied Science in Electrical and Computer Engineering student received the 2017 Outstanding Master’s Thesis Award for his thesis entitled: Time-Frequency Analysis Techniques for Non-Intrusive Load Monitoring.

Senior Member

Institute of Electrical and Electronics Engineers July 1, 2016

Dr. Morsi was appointed to this role for his contributions to advancing the field.

Poster Award

9th Annual Design Exhibition, Ontario Tech University April 1, 2015

Dr. Morsi and his students received this award for their poster entitled: Intelligent Energy Monitoring System Design for Smart Homes.

Adjunct Professor

Department of Electrical and Computer Engineering, University of Waterloo January 1, 2013

In this role, Dr. Morsi collaborates on research projects and supervises student research.

Poster Award

6th Annual Design Exhibition, Ontario Tech University April 1, 2012

Dr. Morsi and his students received this award for their poster entitled: Solar Generation Tracking System.

Centre of Learning and Teaching Award

Ontario Tech University May 1, 2011

Dr. Morsi received this award for Improvement in Teaching Scores.

Best Paper Award

IEEE International Symposium on Power Electronics for Distributed Generation Systems January 1, 2010

Dr. Morsi received this award for his paper entitled: A New Islanding Detection Approach Using Wavelet Packet Transform for Wind-based Distributed Generation.

Institute of Electrical and Electronic Engineers (IEEE)

IEEE Power Engineering Society

Professional Engineers Ontario

Ontario Society of Professional Engineers

  • Power Systems (ELEE 32600U)
    First, various means of electric power generation-through hydroelectric, thermoelectric, geothermal, wind, solar, and nuclear sources are highlighted, and the choice of a given source-dictated by economic and environmental factors, application requirements and cost drivers is discussed. Then the course focuses on electric power systems; mainly electric power generation transmission, distribution; planning and operating inter-connected power systems; operating strategies and economic dispatch; transmission power line parameters, transformer models, symmetrical components, power system modelling, power flow on transmission lines; power system fault analysis.
  • Fundamentals of Smart Grid (ELEE 4115U)
    This course starts by introducing the basic components making the smart grid and the drivers/benefits of implementing it. The course will focus on the role/impacts of the various smart grid components on the electric energy systems, including renewable, plug-in hybrid electric vehicles, demand side management, and greenhouse gas (GHG) emissions reductions. Topics such as smart metering, smart energy pricing and policies, grid optimization, distribution system automation and management, transmission system operation, power electronics and energy storage in smart grid and power quality will be introduced. The related standards to inter-operability and design will also be covered in this course.
  • Smart Grid Network and Security (ELEE 4125U)
    Wired and wireless communications in smart grids; communications protocols and standards in smart grid, current and emerging communication technologies; quality and reliability of service in networking for smart grid; security threats and impacts on end-users and utility companies; types of attacks and possible defences; smart grid security, standardization, authentication, and management; user privacy issues.
  • Power System Operations, Analysis and Planning (ENGR 5960G)
    This course covers resistance, inductance and capacitance of transmission lines; steady state transmission capacity; network compensation; voltage management; load flow simulation; transient stability simulation; system security; system planning; and symmetric operation of power systems.
  • Electrical Power Distribution Systems (ENGR 5975G)
    This course covers the following topics in electric power distribution system engineering: Load characteristics; distribution transformer loading; feeder load; distribution system modeling; distribution feeder analysis; distribution system automation; calculation of voltage drops in lateral distribution systems; calculation of power losses in distribution systems; application of capacitors to distribution systems; distribution system voltage regulation; solar photovoltaic and wind-based distributed generation; energy storage systems for electric utility systems; the concept of smart distribution system in electric grid and its applications; and electric power quality including monitoring, detection and analysis of variations and events.