Developing a predictive tool for electrical grid stability

The proposed project focuses on developing a Grid Disruption Prediction Tool that helps grid operators, asset owners, and dispatchers predict and mitigate power outages, brownouts, and blackouts. By analyzing historical and real-time data from Independent System Operators (ISOs) and Regional Transmission Organizations (RTOs) such as AESO, ERCOT, UK National Grid, and the Australian System Operator, the tool will identify low-frequency events and measure grid volatility through frequency variance. The model will use regression analysis and statistical techniques to detect patterns leading to supply-side constraints and grid failures. The expected benefit to the partner organization is enhanced decision-making capabilities, improved grid stability and reliability, and actionable insights to prevent disruptions, ultimately leading to technical and market design solutions that enhance system resilience.

Faculty Supervisor:

Blake Shaffer

Student:

Partner:

Canadian Global Affairs Institute

Discipline:

Business

Sector:

Other services (except public administration)

University:

University of Calgary

Program: