By creating real-time and hardware porotypes, the proposed research provides opportunities for better investigation of these converters and for development of advanced and effective methods for their control. The three interns that will be trained during this research partnership will gain in-depth knowledge of modern power system equipment and knowledge of the latest developments in real-time simulation of such systems.
The scope of this project is to develop a modern Railway signaling system using LED technology to replace the old system employing incandescent bulb. We propose a novel design and control to avoid using low-lifetime components as the existing commercial systems. The current and voltage monitoring functionalities are added to detect exactly which LED that fault occurs, it helps to maintain system and easily adjust light intensity efficiently.
The intern will develop and evaluate new algorithms to improve the accuracy of short-term wind power forecast. The algorithm will be fed with near real-time data (wind speed, wind direction, air temperature, power production, turbine availability) from wind farms in order to improve the forecast over the next 24h. Once the best algorithm has been selected, the intern will then apply this new algorithm directly into WPreds IT infrastructure and will train WPreds scientific staff to use the algorithm.
The washrooms can be equipped with smart objects to be controlled and monitored to increase the customer satisfaction. This technology utilizes connected washroom equipment such as toilet paper, towels, soap dispensers, and water leakage sensors. In smart washrooms, the condition of the washroom is monitored and the management is informed when anything needs attention. This smart system can save time and reduce maintenance costs by replacing supplies only when needed.
The electric power grid in Canada provides energy to the country. In order to provide more reliable power, to include more clean energy and to supply energy to remote Canadian communities, part of the power grid may be required to operate autonomously. At the distribution level, microgrids, which can be isolated from the main grid, are being deployed for this purpose. Protection schemes in microgrids are very different to those in conventional grids. This project deals with the design and deployment of microgrid protection schemes.
Polymer electrolyte membrane (PEM) fuel cells convert hydrogen and oxygen into electrical power through an electrochemical reaction, producing water and heat. These fuel cells have been considered for automotive powertrain applications. In this proposed work, a set of varying PEMFC materials will be investigated to advance the performance of PEM fuel cells. The fuel cells will be run under a wide range of operating conditions, including temperature, pressure, inlet gas relative humidity as well as compression pressure.
The successful commercialization of new cathode materials for lithium ion batteries requires an improved and detailed understanding of the correlations between their structure, properties, and performance. Such a correlation will provide a foundation for better understanding the degradation mechanisms and optimized operating conditions for these cathode materials; pairing new battery materials with ideal applications and standardizing the methods by which these materials are evaluated.
This project is a feasibility study of applying Machine Learning to Vancouver Island Load Supply Capability determination. The intern is expected to apply neural networks and other machine learning methods to train a transmission operation decision making model to determine the load supply capability of Vancouver Island. An operation scenario database covering equipment status and load information will be generated as the training data to the decision making model.
This project aims at developing control strategies under the paradigm of Demand Response (DR) in the context of the Smart Grid in order to improve energy efficiency and to reduce operational cost in commercial buildings and communities. The emphasis is put on consumer side energy management strategies that able to balance energy demand and supply and to reduce the overall operational cost while providing an enhanced performance.
High Voltage DC Transmission (HVDC) is used for bulk power transfer over long distances. Manitoba Hydro’s HVDC system involves collection of AC power in the north where it is converted to DC and then transferred to southern Manitoba (approx 900km) through asynchronous HVDC links where it is converted back to AC to feed consumers. Asynchronous HVDC links can be used for improving electro-mechanical dynamics of the interconnected AC grids. This includes the functions of power swing damping, emulation of inertia and power-frequency droop.