Subventions et des contributions :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019).

Across North America, phasor measurement units (PMUs) and smart meters have been extensively deployedx000D
across the electric grid. The volume and variety of the data collected from these devices have the potential tox000D
enable a broad array of power system monitoring and operations tasks. Specifically, this project will leveragex000D
measurement data collected from PMUs and smart meters to improve [T1] real-time transient stabilityx000D
assessment, and [T2] online learning for demand response.x000D
Transient stability will be an important concern in the future power system, primarily due to rapidly varyingx000D
renewable generation, which is expected to gradually but widely displace fossil-fuel-based technologies.x000D
Data-centric approaches based on machine learning have been shown to predict whether or not the system willx000D
be stable with high accuracy. In [T1], along with our industry partner, we will extend existing tools to alsox000D
identify the root cause of instability, so that electric utilities can repair damages and restore normal systemx000D
operations in a timely manner.x000D
Demand response programs help to improve power system reliability and market efficiency, which can bex000D
achieved by incentivizing customers via real-time pricing to shift their electricity usage away from periods ofx000D
peak demand. Here, a major challenge is in predicting human behaviours, which can be solved via onlinex000D
learning algorithms, but they generally neglect electrical network effects. In [T2], we will investigate thex000D
impact of the electric network, which imposes nontrivial physical and operational constraints, on real-timex000D
implementations of demand response strategies.x000D
In close collaboration with our industry partner, the proposed tools will be prototyped and implemented intox000D
their commercial-grade software to extend its applicability to energy data analytics. By leveraging datax000D
collected across the electric grid, the project outcomes help to ensure power availability and quality in the facex000D
of growing uncertainty arising from high levels of renewable penetration and customer participation.