Application of Machine Learning Methods in Vancouver Island Supply Capability Determination

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.

Optical and Electrochemical Corrosion Detection and Protection

During the proposed internships, adaptive corrosion protection system (ACPS) will be developed as a stand-alone unit to provide optimum corrosion protection by changing the protection power according to the changes in environment or the material properties. This will allow the dynamic adjustments by implementing the feedback loop for the protected system. The proposed ACPS will also use efficiently stored energy from harvesting or charging. The proposed ACPS will significantly reduce and/or eliminate human interaction for an efficient and a cost-effective.

High Voltage Indicators and Warning Systems

Fatal personnel injury due to accidental contact with high voltage lines and equipment happens from time to time despite of substantial efforts put in place by industry to minimize the risk. The objective of the project is to identify effective concepts, techniques and solutions to reduce the risk of inadvertent contact with high voltage equipment for both Hydro workers and the general public. We will identify the most common scenarios of potential fatal encroachment based on the data obtained from BC Hydro.

Static Voltage-Dependent Models and Conservation Voltage Reduction Factor for Load Reactive Power Component

In this project, mathematical models for estimating the behavior of electric appliances are derived using field measurements. These models are then used to estimate the amount of energy savings that can be achieved on each area, depending on the types of customers connected to each particular electric circuit. The outcomes of this project can be used in identifying the best locations in terms of achievable savings for implementing the energy conservation techniques within the BC Hydro system. Saving energy can benefit the environment and contribute in addressing the global warming issue.

Impact of Net Metered Solar Energy on Distribution Networks

The research will comprise effects of penetration of photovoltaic on existing distribution network. This will include power quality, voltage stability and customer load when there is a penetration. The graphs would display and let the utility organization know till what level the penetration should be done on a distribution network. The advantages and the need for doing the research is that the load can be distributed from the utility to the photovoltaic panels which are installed and the utility would have to generate less by the existing means. In this case by means of Hydro.

Distribution feeder voltage control with a high penetration of distributed generation

In this project, a methodology for controlling the distributed generation resources connected to the distribution system level will be developed. This control strategy will improve the efficiency and reliability of the operation by decreasing the losses, managing the assets, and increasing the system reliability. There are currently several feeders in the BC Hydro distribution system with considerable amount of distributed generation installed. This has caused voltage problems at the feeder level and also control issues at the substation level.

Operational runoff prediction during rain-on-snow in the Coast Mountains of British Columbia

Rain-on-snow events, where rain falls on pre-existing snow, cause some of the highest peak flows in mountainous coastal regions, such as Southwestern British Columbia. Operational hydrologists have a difficult time predicting runoff during these events because of an incomplete knowledge of the energy fluxes into and within the snowpack over large areas, and because of an incomplete knowledge of which areas of a watershed have snow coverage and which do not.

Numerical Weather Forecast Advances for Clean Energy Production

The objective is to create new weather-forecast products to enable BC Hydro meteorologists to better support electric-power generation, power transmission, dispatch of emergency repair crews, anticipation of electric loads, and energy trading. The method is to use powerful computers to solve atmospheric equations for future weather (a method called Numerical Weather Prediction, NWP), and to improve and tailor the output as specified by BC Hydro.

Informative Art Simulations and Games for Improving Energy Awareness in the Home

While energy conservation in the home is an important part of reducing our ecological footprint most people do not understand or even realize how their energy consumption works and how they can manage it. In-home displays offer the opportunity to help become more aware, but often do not fit into a home’s aesthetics, typically relegated to an unobvious location after the novelty “wears off”. They also provided little opportunity for interaction and learning.

Optimal Numerical-Weather-Prediction Parameters for Wind-Power Forecasting

BC Hydro purchases power from four independent wind farms in British Columbia to supplement their hydropower. But wind is not steady, so BC Hydro must compensate for shortfalls or excesses in wind power to provide steady, reliable, economical power to its customers. To achieve this reliability, BC Hydro uses wind forecasts provided by the University of British Columbia (UBC). These forecasts are made with computer codes called Numerical Weather Prediction models that describe atmospheric airflow, but each model has a range of options.