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Dynamics and control for integration renewable resources
Our research is related to developing mathematical tools for analyzing power systems with massive penetration of renewable power resources, mainly wind, solar and small hydropower: that convex optimization, dynamical systems, model predictive control, optimal control, and passivity-based control. The objective of this small project is to develop model-predictive controls for the integration of renewable energies, especially wind and solar. The student is required to develop a mathematical model, implement that model in Matlab-Simulink, analyze the result and present a final report.
Faculty Supervisor:
Betina Appel Kuzmarov
Student:
Partner:
Universidad Tecnológica de Pereira
Discipline:
Engineering
Sector:
Green/Alternative Energy; Energy and Utilities; Sustainability & the Environment
University:
Carleton University
Program:
Globalink Research Award
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