The widespread use of phasor measurement units (PMUs) in power-grids can greatly enhance state-estimation (SE) by making use of accurate, GPS time-stamped synchronous phasor measurements. Unlike conventional SCADA measurements which are reported every 4 seconds, synchro-phasor measurements are typically available as frequently as 30-60 measurements per second. While the availability of more measurements can provide accurate state estimates in real-time, the sheer amount of data can overwhelm the computational capabilities of most data processing systems.
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 current project aims to study a novel energy management system for residential heating ventilating and air conditioning (HVAC) system. Independently controlled wireless air damping vents will adjust the air flow in different zones of the building allowing independent control of the temperature which results in enhanced thermal comfort and energy savings. The intern will collaborate with the partner organization on studying a unique state-of-the-art predictive model to control the damping factor of the vents within fully closed to fully open range.
The field of plastic waste management is essential for sustainable society that utilizes plastic waste for energy production. Land filing and incineration of plastic waste has large environmental impacts due to GHG emissions. Thus, pyrolysis is considered a low environmental impact process with high value end products. RF thermal plasma technology will help reduce operating cost, cleaner thermal source, shorten reaction time and provide high quality hydrocarbon gasoline and diesel.
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.
The objective of this project is to use artificial intelligence (AI) approaches to solve complex industrial problems. The two biggest advantages of AI-based approaches are the ability to continuously learn and also learn adequately from historical data. Traditionally, many process information are unmeasurable during live operations because of instrumentation limitations. Also, plants are not sufficiently optimized to maximize production quality, while minimizing waste.
The main objective of the project is to develop hybrid distributed energy resource (HDER) systems to supply energy to net-zero energy commercial and residential buildings. This is expected to result in lower energy costs to consumers and utilities and in greater reliability of the grid. The HDERs will consist of solar panels, generators, and batteries. They will supply buildings with energy whenever possible and feed any excess energy to the grid. The grid will supply energy to the buildings whenever energy from the HDERs is insufficient.
The intern will work on building power transformers aging models based on reliability theories and actual field test data collected using optic fiber based health monitoring technologies. This is part of a novel solution to handle the accident prevention and maintenance for major power and grid equipment. The novelty lies in that the model verification and execution will be realized with physical parameters directly obtained from transformers in real-time. The data used will be those collected on in-service transformers.
The candidate will utilize his knowledge and experience in transmission line modelling to implement test cases required for the Transient Over-Voltage studies. The simulations will be performed using well-known computer packages available at BC Hydro and Power labs at UBC as well as programs written by the candidate to implement the recently developed line model in his PhD work. Simulation results will be compared with the simulations previously performed by BC Hydro.
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.