Modular Multilevel Converter-Based Energy Storage Systems for Integration of Large Renewable Resources

Generation and transmission of ultra-large amounts of energy from renewable resources, such as wind and solar PV power, is on the rise globally. This has unprecedented implication on the operation of modern power systems, including challenges with the natural intermittency of renewables resources, stability, and security of the system following naturally occurring abnormalities. This project […]

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Solid waste management plan for Rosenort and Lowe Farm waste disposal sites

The waste generated in Rosenort and Lowe Farm communities is being unprofessionally disposed in disposal sites. The leachate produced from the waste is also being pumped into the surrounding grasslands and contaminate soil and groundwater. Hazardous waste and used oil are not properly stored, and there is a large volume of waste and mixed materials […]

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Assessing the relationship between tick abundance on pastures and on cattle, and the risk ticks represent to cattle and livestock workers

The two most common tick species in Manitoba are the American dog tick and the blacklegged tick. American dog ticks can infect cattle with a bacterium that causes bovine anaplasmosis, a blood-borne disease that can severely affect animal health and production. Blacklegged ticks can transmit several tick-borne infections like Lyme disease, granulocytic anaplasmosis, and babesiosis […]

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A Predictive Cluster-based Machine Learning Pricing Model

Dynamic pricing models create price by assessing total cost, demand, and timing to customize the price to the moment. The models enable both buyers and sellers to settle a price that is very custom to their specific needs. Bison Transport Inc. has a network model that monitors profit and a pricing engine that monitors margin. […]

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Implementation of BMP protocols to manage irrigation and controlled drainage to conserve water and nutrients within agricultural lands

Tile drainage is becoming popular as a way to control excess moisture in the field to increase productivity. Yet, the economic return on investment (ROI) on installing tile drainage is not known in Manitoba. This research will allow us to assess the impact of water management through controlled drainage on yield. Detailed water table depth […]

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Deep learning models for compound design

Traditional drug development strategy is costly, tiresome, and labor-intensive. In the last decade, artificial intelligence (AI) technologies have shown promising results to overcome some of these limitations. However, these computational technologies still cannot efficiently generate novel drugs with expected properties for treating specific diseases. Here we will apply new generation of AI frameworks to design […]

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Vison-based frameworks for automated robotic machining of aerospace composite panels

Canada is a global leader in the aerospace manufacturing industry. Canadian companies produce complex assemblies and system solutions including carbon fiber composite panels used in the body of airplanes. Manufacturing of such panels requires a significant number of operations such as trimming, drilling, and abrasion. Currently, some of these operations are performed manually, which is […]

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Investigations into HVDC Converter arrangements for a Western Canada Grid

Presently the electrical grids of Manitoba, Saskatchewan and Alberta are operated with limited energy exchange between them. Connecting the three provinces together with a “Western Canada Grid (WCG)” could yield significant advantages. Connection with HVDC transmission is attractive due to its control flexibility and stability. This project will investigate optimum converter types and control methods […]

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Advanced Network Intrusion Detection Using Automated Algorithms and Threat Models

Computer attacks such as viruses, Trojans, etc. are a continuous problem for governments, companies, and individuals. The most common methods of detecting these computer problems like anti-virus systems rely on an attack being known and described before it can be detected. This opens a hole in computer security systems for new attacks that have not […]

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Ensuring Stability and Accuracy of Multi-rate Electromagnetic Transient Simulation

Real-time digital power system simulators are used for testing and debugging control equipment intended for field installation. They simulate the power network in ‘real-time’, i.e., the simulation computations are rapidly completed so as to retain synchronism with a real-world clock. This requires the level of complexity in different components of the network to be judiciously […]

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