This research project aims at developing a new generation of advanced mathematical models and simulation tools for electrical power systems and smart grids.
Postdoctoral fellow: Dr. Natalie Nakhla, Electronics, Carleton University
Lead faculty member: Dr. Q. J. Zhang, Electronics, Carleton University
With today’s rapidly increasing energy demands and the emergence of smart grids and renewable energy resources, the current energy and power technologies need to be advanced to keep up with these changes. Simulation and modeling plays a vital role in understanding, designing and planning of electrical power systems. The proposed research aims at developing a new generation of advanced mathematical models and simulation tools for electrical power systems and smart grids. System partitioning, model-order reduction and parallel simulation algorithms will be developed to cope with the increasing complexity of modern systems. The developed algorithms will have a direct impact on the methods used for planning and management of power systems such as load flow analysis, electromagnetic transients, stability analysis and harmonic studies. This will provide system designers and planners with valuable tools to address the emerging challenges imposed by the complexity and diversity of current and future power systems.