The problem considered in this work is how to produce highly accurate and consistent land-use/land-cover (LULC) maps significantly faster than current semi?automated methods for use by Manitoba Hydro. The goal is to improve the ability to produce maps quickly and efficiently as priority needs arise. This project will use an approach for automated LULC mapping from satellite images using deep learning methods pioneered by the applicants. By classifying each pixel in a satellite image into LULC categories using neural networks, rapid and accurate LULC maps can be successfully produced.
Revegetation of northern Manitoba ecosystems, disturbed by hydroelectric development, is critical to meet the ecological and cultural needs of the First Nation communities located in these areas. To establish a viable self-sustaining ecosystem, it is important to understand the challenges associated with reclamation in these disturbed areas. The main goal of our proposed research is to develop revegetation strategies using native plant species (selected in consultation with the indigenous communities) and addition of organic matter/ fertilizer following soil decompaction.
Throughout much of North America moose populations are in decline and Manitoba is no exception. This project will determine what factors promoting occupancy and abundance at local and regional scales in Manitoba; and subsequently identify the most efficient way to monitor moose populations in relation to local and regional factors, such as hydroelectric power transmission right-of-ways.
Conventional power systems are based upon ac voltages and currents. Connecting these systems is a simple matter and is done using transformers. Modern power systems wherein renewable energy sources are increasingly deployed often include dc voltages and currents. Connecting these systems is more challenging as conventional transformers will not be applicable. The proposed research is aimed at investigating and evaluating options for linking and interconnecting dc power systems. Power electronics is the enabling technology for achieving dc system interconnections.
Bulk storage of energy is a relatively new concept in many power systems. Among various energy storage media, batteries have shown great promise as a suitable option for use in power systems. Integrating a battery energy storage system in a power grid is not a trivial task and requires extensive studies to ensure that the system is able to respond satisfactorily to its surroundings variable conditions and deliver what is expected of it.
The research project aims to develop new computer models for accurate representation of battery energy storage systems that are used in modern power systems. In particular state-of-the-art modular multi-level converters with integrated dc-dc converters will be considered. The models to be developed will provide high levels of accuracy and feature low computational intensity so that study of battery systems that are integrated into the grid using advanced converter systems becomes feasible on present-day computing systems.
Battery energy storage systems are used in electric utilities for a variety of applications including back up power for critical equipment. Manitoba Hydro is evaluating two battery chemistries for use in its substations, namely Li-ion and sodium-nickel chemistries. Along with assessment of technical merits of each battery type to determine which chemistry best suits the intended application, Manitoba Hydro needs to develop schemes for maintenance and condition monitoring of these new batteries so that it can maximize their lifespan when in service and prevent any unforeseen outage.
A high-voltage, direct current (HVDC) transmission system provides an efficient, reliable, economical and environment-friendly solution to interconnect between different power systems. HVDC permits electric power to be distributed to remote areas, which benefits the community with economic electricity usage and the government with extra financial revenues. This proposed project aims to investigate novel methods to further improve the efficiency of the HVDC transmission systems.
A major part of the generated electrical energy in the power systems is consumed by the electric machines to support the required mechanical energy for the clients in various applications such as pumps, oil and gas, household, electric vehicles, etc. In large scales, higher efficiency, reliability, and life time of the employed electric machines in the network results in less burnt fossil fuel in the generation stations. Accordingly, a lower amount of carbon dioxide emission is predicted in this case and less health problems related to the greenhouse gases emissions are expected.
This project will investigate the applicability and merits of battery chemistries for use in a utility substation, where longevity, reliability, and security are prime considerations. The project aims to characterize the process of battery aging when batteries are used under representative utility substation loading profiles in order to determine how fast the batteries will age and what signatures may be used to determine how close the batteries are to the end of their life so that pro-active maintenance work may be initiated.