In order to understand the movement of water in all its three phases on, under, and above the ground, scientists known as hydrologists use computer models. These models simulate the volume of water that runs through river in response to the amount of rainfall that has reached the ground during a specific time period. Hydrologists typically use weather stations to learn how much rain has fallen over the land. In Canada and in remote parts of the country, there are not many weather stations available.
Two High Voltage DC (HVDC) transmission technologies, the mature Line Commutated Converter (LCC) and newer Voltage Source Converter (VSC) technologies have their own pros and cons. For a HVDC transmission system carrying power from a single generation center to multiple load centers, by using a multi-terminal LCC-VSC type hybrid HVDC configuration, advantages of both technologies can be exploited. There is also the possibility of tapping into existing point-to-point LCC transmission lines using this hybrid configuration to supply intermediate locations.
This research will investigate Wide Area Measurement based controllers for improving stability in systems with HVDC and FACTS devices embedded in AC networks. The approach will extend the candidates Ph.D. research which introduced a new method that is always able to guarantee improved damping of all modes in the face wide changes in the network. The approach will lead to controller designs which are robust against configuration or operating point changes, or communication loss.
After introducing deregulated power markets and small scale distributed generation (DG) in power distribution systems, the probabilistic evaluation gained much attention to quantify the uncertainties due to parameters such as wind speed, solar irradiation, power market price etc. Meanwhile, due to increasing penetration of electric vehicles (EVs), the load demand due to EV charging has become very relevant information needed for power system planning studies.
In this study, an advanced frequency scanning method is used to extract the frequency dependent network equivalent (FDNE) impedance characteristic of a power electronic subsystem such as an HVDC transmission system or FACTS device including its controls. This is achieved by simulating it in the time domain on an EMT program, and exposing it to an energy dispersed chirp disturbance which has a broad harmonic spectrum. The impedance (or admittance) of this subsystem at the given operating point can then be determined using a Discrete Fourier Transform.
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.
In northern countries, ice storms can cause major power disruptions such as the one that occurred in the Toronto area on December 2013 that left more than 300,000 customers with no electricity immediately after the storm. Prediction of ice formation on power cables can help on taking actions for removing the ice before a major problem occurs. Currently Manitoba Hydro HVDC Research Centre has a vision based ice detection system that uses digital images taken from the overhead line conductors.
The proposed internships will be aimed at developing advanced computer (software) and hardware platforms for simulation of modern power-electronic converter systems used in emerging electric power transmission systems. In particular, modular multi-level converter (MMC) simulations will be targeted. These converters are considered the primary candidates for dc systems used to integrate renewable energy sources into the existing grid. These two internships will develop functional models that can be readily used for the analysis and design of systems involving modular multi-level converters.
Load Modeling accurately has been a fundamental and critical subject for many years in power industry. Recently with the deployment of Phasor Measurement Units (PMU), real time data to
analyze the loads has become feasible. Previously, load modeling has been focused on using some models based on pre-assumed certain form of the models, as a consequence the
prediction error would be considerable. We propose to use techniques that do not need such assumptions, therefore it should promote the prediction accuracy of the analysis.
We will develop an algorithm that uses subsurface images obtained by spectroscopic optical coherence omography (OCT), to estimate the remaining lifetime of high voltage transformer insulation paper. To allow uture almost instantaneous in-field estimation during transformer maintenance outages, this algorithm when sed with, e.g., a fiber-based spectroscopic OCT, should produce results in less than 5 seconds. Using existing ptical hardware, we will build a benchtop spectroscopic OCT setup to image both synthetically and in-field ged transformer insulation paper samples.